[{"citation":{"chicago":"Ping, Li, Jun Tong, Xiaojun Yuan, and Qinghua Guo. “Superposition Coded Modulation and Iterative Linear MMSE Detection.” <i>IEEE J.\\ Select.\\ Areas Comm.</i> 27, no. 6 (2009): 995–1004. <a href=\"https://doi.org/10.1109/JSAC.2009.090817\">https://doi.org/10.1109/JSAC.2009.090817</a>.","ieee":"L. Ping, J. Tong, X. Yuan, and Q. Guo, “Superposition coded modulation and iterative linear MMSE detection,” <i>IEEE J.\\ Select.\\ Areas Comm.</i>, vol. 27, no. 6, pp. 995–1004, 2009, doi: <a href=\"https://doi.org/10.1109/JSAC.2009.090817\">10.1109/JSAC.2009.090817</a>.","ama":"Ping L, Tong J, Yuan X, Guo Q. Superposition coded modulation and iterative linear MMSE detection. <i>IEEE J\\ Select\\ Areas Comm</i>. 2009;27(6):995–1004. doi:<a href=\"https://doi.org/10.1109/JSAC.2009.090817\">10.1109/JSAC.2009.090817</a>","mla":"Ping, Li, et al. “Superposition Coded Modulation and Iterative Linear MMSE Detection.” <i>IEEE J.\\ Select.\\ Areas Comm.</i>, vol. 27, no. 6, 2009, pp. 995–1004, doi:<a href=\"https://doi.org/10.1109/JSAC.2009.090817\">10.1109/JSAC.2009.090817</a>.","short":"L. Ping, J. Tong, X. Yuan, Q. Guo, IEEE J.\\ Select.\\ Areas Comm. 27 (2009) 995–1004.","bibtex":"@article{Ping_Tong_Yuan_Guo_2009, title={Superposition coded modulation and iterative linear MMSE detection}, volume={27}, DOI={<a href=\"https://doi.org/10.1109/JSAC.2009.090817\">10.1109/JSAC.2009.090817</a>}, number={6}, journal={IEEE J.\\ Select.\\ Areas Comm.}, author={Ping, Li and Tong, Jun and Yuan, Xiaojun and Guo, Qinghua}, year={2009}, pages={995–1004} }","apa":"Ping, L., Tong, J., Yuan, X., &#38; Guo, Q. (2009). Superposition coded modulation and iterative linear MMSE detection. <i>IEEE J.\\ Select.\\ Areas Comm.</i>, <i>27</i>(6), 995–1004. <a href=\"https://doi.org/10.1109/JSAC.2009.090817\">https://doi.org/10.1109/JSAC.2009.090817</a>"},"page":"995–1004","intvolume":"        27","year":"2009","issue":"6","doi":"10.1109/JSAC.2009.090817","title":"Superposition coded modulation and iterative linear MMSE detection","date_created":"2023-01-30T11:52:02Z","author":[{"first_name":"Li","last_name":"Ping","full_name":"Ping, Li"},{"last_name":"Tong","full_name":"Tong, Jun","first_name":"Jun"},{"first_name":"Xiaojun","last_name":"Yuan","full_name":"Yuan, Xiaojun"},{"first_name":"Qinghua","full_name":"Guo, Qinghua","last_name":"Guo"}],"volume":27,"date_updated":"2023-01-30T11:55:40Z","status":"public","type":"journal_article","publication":"IEEE J.\\ Select.\\ Areas Comm.","user_id":"43497","department":[{"_id":"263"}],"_id":"40854"},{"status":"public","type":"journal_article","publication":"IEEE Trans.\\ Inform.\\ Theory","user_id":"43497","department":[{"_id":"263"}],"_id":"40856","citation":{"bibtex":"@article{Tong_Ping_Ma_2009, title={Superposition coded modulation with peak-power limitation}, volume={55}, DOI={<a href=\"https://doi.org/10.1109/TIT.2009.2018224\">10.1109/TIT.2009.2018224</a>}, number={6}, journal={IEEE Trans.\\ Inform.\\ Theory}, author={Tong, Jun and Ping, Li and Ma, Xiao}, year={2009}, pages={2562–2576} }","short":"J. Tong, L. Ping, X. Ma, IEEE Trans.\\ Inform.\\ Theory 55 (2009) 2562–2576.","mla":"Tong, Jun, et al. “Superposition Coded Modulation with Peak-Power Limitation.” <i>IEEE Trans.\\ Inform.\\ Theory</i>, vol. 55, no. 6, 2009, pp. 2562–2576, doi:<a href=\"https://doi.org/10.1109/TIT.2009.2018224\">10.1109/TIT.2009.2018224</a>.","apa":"Tong, J., Ping, L., &#38; Ma, X. (2009). Superposition coded modulation with peak-power limitation. <i>IEEE Trans.\\ Inform.\\ Theory</i>, <i>55</i>(6), 2562–2576. <a href=\"https://doi.org/10.1109/TIT.2009.2018224\">https://doi.org/10.1109/TIT.2009.2018224</a>","ama":"Tong J, Ping L, Ma X. Superposition coded modulation with peak-power limitation. <i>IEEE Trans\\ Inform\\ Theory</i>. 2009;55(6):2562–2576. doi:<a href=\"https://doi.org/10.1109/TIT.2009.2018224\">10.1109/TIT.2009.2018224</a>","chicago":"Tong, Jun, Li Ping, and Xiao Ma. “Superposition Coded Modulation with Peak-Power Limitation.” <i>IEEE Trans.\\ Inform.\\ Theory</i> 55, no. 6 (2009): 2562–2576. <a href=\"https://doi.org/10.1109/TIT.2009.2018224\">https://doi.org/10.1109/TIT.2009.2018224</a>.","ieee":"J. Tong, L. Ping, and X. Ma, “Superposition coded modulation with peak-power limitation,” <i>IEEE Trans.\\ Inform.\\ Theory</i>, vol. 55, no. 6, pp. 2562–2576, 2009, doi: <a href=\"https://doi.org/10.1109/TIT.2009.2018224\">10.1109/TIT.2009.2018224</a>."},"intvolume":"        55","page":"2562–2576","year":"2009","issue":"6","doi":"10.1109/TIT.2009.2018224","title":"Superposition coded modulation with peak-power limitation","author":[{"last_name":"Tong","full_name":"Tong, Jun","first_name":"Jun"},{"first_name":"Li","last_name":"Ping","full_name":"Ping, Li"},{"first_name":"Xiao","full_name":"Ma, Xiao","last_name":"Ma"}],"date_created":"2023-01-30T11:52:02Z","volume":55,"date_updated":"2023-01-30T11:55:38Z"},{"place":"Cardiff, UK","year":"2009","citation":{"bibtex":"@inproceedings{Ramírez_Vía_Santamaría_2009, place={Cardiff, UK}, title={Coherent Fusion of Information for Optimal Detection in Sensor Networks}, DOI={<a href=\"https://doi.org/10.1109/SSP.2009.5278473\">10.1109/SSP.2009.5278473</a>}, booktitle={Proc.\\ IEEE Work.\\ Stat.\\ Signal Process.}, author={Ramírez, D. and Vía, J. and Santamaría, I.}, year={2009} }","short":"D. Ramírez, J. Vía, I. Santamaría, in: Proc.\\ IEEE Work.\\ Stat.\\ Signal Process., Cardiff, UK, 2009.","mla":"Ramírez, D., et al. “Coherent Fusion of Information for Optimal Detection in Sensor Networks.” <i>Proc.\\ IEEE Work.\\ Stat.\\ Signal Process.</i>, 2009, doi:<a href=\"https://doi.org/10.1109/SSP.2009.5278473\">10.1109/SSP.2009.5278473</a>.","apa":"Ramírez, D., Vía, J., &#38; Santamaría, I. (2009). Coherent Fusion of Information for Optimal Detection in Sensor Networks. <i>Proc.\\ IEEE Work.\\ Stat.\\ Signal Process.</i> <a href=\"https://doi.org/10.1109/SSP.2009.5278473\">https://doi.org/10.1109/SSP.2009.5278473</a>","ama":"Ramírez D, Vía J, Santamaría I. Coherent Fusion of Information for Optimal Detection in Sensor Networks. In: <i>Proc.\\ IEEE Work.\\ Stat.\\ Signal Process.</i> ; 2009. doi:<a href=\"https://doi.org/10.1109/SSP.2009.5278473\">10.1109/SSP.2009.5278473</a>","ieee":"D. Ramírez, J. Vía, and I. Santamaría, “Coherent Fusion of Information for Optimal Detection in Sensor Networks,” 2009, doi: <a href=\"https://doi.org/10.1109/SSP.2009.5278473\">10.1109/SSP.2009.5278473</a>.","chicago":"Ramírez, D., J. Vía, and I. Santamaría. “Coherent Fusion of Information for Optimal Detection in Sensor Networks.” In <i>Proc.\\ IEEE Work.\\ Stat.\\ Signal Process.</i> Cardiff, UK, 2009. <a href=\"https://doi.org/10.1109/SSP.2009.5278473\">https://doi.org/10.1109/SSP.2009.5278473</a>."},"date_updated":"2023-01-30T11:55:35Z","author":[{"first_name":"D.","full_name":"Ramírez, D.","last_name":"Ramírez"},{"first_name":"J.","last_name":"Vía","full_name":"Vía, J."},{"first_name":"I.","full_name":"Santamaría, I.","last_name":"Santamaría"}],"date_created":"2023-01-30T11:52:02Z","title":"Coherent Fusion of Information for Optimal Detection in Sensor Networks","doi":"10.1109/SSP.2009.5278473","publication":"Proc.\\ IEEE Work.\\ Stat.\\ Signal Process.","type":"conference","status":"public","_id":"40852","department":[{"_id":"263"}],"user_id":"43497"},{"user_id":"43497","department":[{"_id":"263"}],"_id":"40853","type":"conference","publication":"Proc.\\ Eur.\\ Signal Process.\\ Conf.","status":"public","date_created":"2023-01-30T11:52:02Z","author":[{"first_name":"D.","last_name":"Ramírez","full_name":"Ramírez, D."},{"full_name":"Vía, J.","last_name":"Vía","first_name":"J."},{"full_name":"Santamaría, I.","last_name":"Santamaría","first_name":"I."},{"first_name":"P.","last_name":"Crespo","full_name":"Crespo, P."}],"date_updated":"2023-01-30T11:55:33Z","title":"Entropy and Kullback-Leibler divergence estimation based on Szegö’s Theorem","citation":{"ama":"Ramírez D, Vía J, Santamaría I, Crespo P. Entropy and Kullback-Leibler divergence estimation based on Szegö’s Theorem. In: <i>Proc.\\ Eur.\\ Signal Process.\\ Conf.</i> ; 2009.","chicago":"Ramírez, D., J. Vía, I. Santamaría, and P. Crespo. “Entropy and Kullback-Leibler Divergence Estimation Based on Szegö’s Theorem.” In <i>Proc.\\ Eur.\\ Signal Process.\\ Conf.</i> Glasgow, Scotland, 2009.","ieee":"D. Ramírez, J. Vía, I. Santamaría, and P. Crespo, “Entropy and Kullback-Leibler divergence estimation based on Szegö’s Theorem,” 2009.","apa":"Ramírez, D., Vía, J., Santamaría, I., &#38; Crespo, P. (2009). Entropy and Kullback-Leibler divergence estimation based on Szegö’s Theorem. <i>Proc.\\ Eur.\\ Signal Process.\\ Conf.</i>","bibtex":"@inproceedings{Ramírez_Vía_Santamaría_Crespo_2009, place={Glasgow, Scotland}, title={Entropy and Kullback-Leibler divergence estimation based on Szegö’s Theorem}, booktitle={Proc.\\ Eur.\\ Signal Process.\\ Conf.}, author={Ramírez, D. and Vía, J. and Santamaría, I. and Crespo, P.}, year={2009} }","mla":"Ramírez, D., et al. “Entropy and Kullback-Leibler Divergence Estimation Based on Szegö’s Theorem.” <i>Proc.\\ Eur.\\ Signal Process.\\ Conf.</i>, 2009.","short":"D. Ramírez, J. Vía, I. Santamaría, P. Crespo, in: Proc.\\ Eur.\\ Signal Process.\\ Conf., Glasgow, Scotland, 2009."},"place":"Glasgow, Scotland","year":"2009"},{"type":"conference","publication":"Proc. 17th\\ European Signal Process.\\ Conf.","status":"public","_id":"40855","user_id":"43497","department":[{"_id":"263"}],"year":"2009","citation":{"short":"P. Wahlberg, P.J. Schreier, in: Proc. 17th\\ European Signal Process.\\ Conf., 2009, pp. 2465–2469.","mla":"Wahlberg, Patrik, and Peter J. Schreier. “The Wiener Filter for Locally Stationary Stochastic Processes Is Rarely Locally Stationary.” <i>Proc. 17th\\ European Signal Process.\\ Conf.</i>, 2009, pp. 2465–2469.","bibtex":"@inproceedings{Wahlberg_Schreier_2009, title={The Wiener filter for locally stationary stochastic processes is rarely locally stationary}, booktitle={Proc. 17th\\ European Signal Process.\\ Conf.}, author={Wahlberg, Patrik and Schreier, Peter J.}, year={2009}, pages={2465–2469} }","apa":"Wahlberg, P., &#38; Schreier, P. J. (2009). The Wiener filter for locally stationary stochastic processes is rarely locally stationary. <i>Proc. 17th\\ European Signal Process.\\ Conf.</i>, 2465–2469.","chicago":"Wahlberg, Patrik, and Peter J. Schreier. “The Wiener Filter for Locally Stationary Stochastic Processes Is Rarely Locally Stationary.” In <i>Proc. 17th\\ European Signal Process.\\ Conf.</i>, 2465–2469, 2009.","ieee":"P. Wahlberg and P. J. Schreier, “The Wiener filter for locally stationary stochastic processes is rarely locally stationary,” in <i>Proc. 17th\\ European Signal Process.\\ Conf.</i>, 2009, pp. 2465–2469.","ama":"Wahlberg P, Schreier PJ. The Wiener filter for locally stationary stochastic processes is rarely locally stationary. In: <i>Proc. 17th\\ European Signal Process.\\ Conf.</i> ; 2009:2465–2469."},"page":"2465–2469","date_updated":"2023-01-30T11:55:30Z","author":[{"first_name":"Patrik","last_name":"Wahlberg","full_name":"Wahlberg, Patrik"},{"first_name":"Peter J.","last_name":"Schreier","full_name":"Schreier, Peter J."}],"date_created":"2023-01-30T11:52:02Z","title":"The Wiener filter for locally stationary stochastic processes is rarely locally stationary"},{"citation":{"ama":"Ramírez D, Vía J, Santamaría I. Multiple-Channel Signal Detection using the Generalized Coherence spectrum. In: <i>Proc.\\ IAPR Work. Cognitive Information Process.</i> ; 2008.","chicago":"Ramírez, D., J. Vía, and I. Santamaría. “Multiple-Channel Signal Detection Using the Generalized Coherence Spectrum.” In <i>Proc.\\ IAPR Work. Cognitive Information Process.</i> Santorini, Greece, 2008.","ieee":"D. Ramírez, J. Vía, and I. Santamaría, “Multiple-Channel Signal Detection using the Generalized Coherence spectrum,” 2008.","apa":"Ramírez, D., Vía, J., &#38; Santamaría, I. (2008). Multiple-Channel Signal Detection using the Generalized Coherence spectrum. <i>Proc.\\ IAPR Work. Cognitive Information Process.</i>","mla":"Ramírez, D., et al. “Multiple-Channel Signal Detection Using the Generalized Coherence Spectrum.” <i>Proc.\\ IAPR Work. Cognitive Information Process.</i>, 2008.","short":"D. Ramírez, J. Vía, I. Santamaría, in: Proc.\\ IAPR Work. Cognitive Information Process., Santorini, Greece, 2008.","bibtex":"@inproceedings{Ramírez_Vía_Santamaría_2008, place={Santorini, Greece}, title={Multiple-Channel Signal Detection using the Generalized Coherence spectrum}, booktitle={Proc.\\ IAPR Work. Cognitive Information Process.}, author={Ramírez, D. and Vía, J. and Santamaría, I.}, year={2008} }"},"place":"Santorini, Greece","year":"2008","date_created":"2023-01-30T11:52:04Z","author":[{"first_name":"D.","full_name":"Ramírez, D.","last_name":"Ramírez"},{"first_name":"J.","full_name":"Vía, J.","last_name":"Vía"},{"last_name":"Santamaría","full_name":"Santamaría, I.","first_name":"I."}],"date_updated":"2023-01-30T11:54:35Z","title":"Multiple-Channel Signal Detection using the Generalized Coherence spectrum","type":"conference","publication":"Proc.\\ IAPR Work. Cognitive Information Process.","status":"public","abstract":[{"text":"Recently, a generalization of the magnitude squared coherence (MSC) spectrum for more than two random processes has been proposed. The generalized MSC (GMSC) spectrum definition, which is based on the largest eigenvalue of a matrix containing all the pairwise complex coherence spectra, provides a frequency-dependent measure of the linear relationship among several stationary random processes. Moreover, it can be easily estimated by solving a generalized eigenvalue problem. In this paper we apply the GMSC spectrum for detecting the presence of a common signal from a set of linearly distorted and noisy observations. Specifically, the new statistic for the multiple-channel detection problem is the integral of the square root of the GMSC, which can be estimated as the sum of the $P$ largest generalized canonical correlations (typically $P=1$ is enough in practice). Unlike previous approaches, the new statistic implicitly takes into account the spectral characteristics of the signal to be detected (e.g., its bandwidth). Finally, the performance of the proposed detector is compared in terms of its receiver operating characteristic (ROC) curve with the generalized coherence (GC) showing a clear improvement in most scenarios.","lang":"eng"}],"user_id":"43497","department":[{"_id":"263"}],"_id":"40868"},{"year":"2008","page":"555–559","citation":{"ama":"Tong J, Guo Q, Ping L. Performance analysis of OFDM-IDMA systems with peak-power limitation. In: <i>IEEE 10th\\ Int.\\ Symp.\\ Spread Spectrum Techn.\\ &#38; Appl.</i> ; 2008:555–559. doi:<a href=\"https://doi.org/10.1109/ISSSTA.2008.109\">10.1109/ISSSTA.2008.109</a>","ieee":"J. Tong, Q. Guo, and L. Ping, “Performance analysis of OFDM-IDMA systems with peak-power limitation,” in <i>IEEE 10th\\ Int.\\ Symp.\\ Spread Spectrum Techn.\\ &#38; Appl.</i>, 2008, pp. 555–559, doi: <a href=\"https://doi.org/10.1109/ISSSTA.2008.109\">10.1109/ISSSTA.2008.109</a>.","chicago":"Tong, Jun, Qinghua Guo, and Li Ping. “Performance Analysis of OFDM-IDMA Systems with Peak-Power Limitation.” In <i>IEEE 10th\\ Int.\\ Symp.\\ Spread Spectrum Techn.\\ &#38; Appl.</i>, 555–559, 2008. <a href=\"https://doi.org/10.1109/ISSSTA.2008.109\">https://doi.org/10.1109/ISSSTA.2008.109</a>.","apa":"Tong, J., Guo, Q., &#38; Ping, L. (2008). Performance analysis of OFDM-IDMA systems with peak-power limitation. <i>IEEE 10th\\ Int.\\ Symp.\\ Spread Spectrum Techn.\\ &#38; Appl.</i>, 555–559. <a href=\"https://doi.org/10.1109/ISSSTA.2008.109\">https://doi.org/10.1109/ISSSTA.2008.109</a>","bibtex":"@inproceedings{Tong_Guo_Ping_2008, title={Performance analysis of OFDM-IDMA systems with peak-power limitation}, DOI={<a href=\"https://doi.org/10.1109/ISSSTA.2008.109\">10.1109/ISSSTA.2008.109</a>}, booktitle={IEEE 10th\\ Int.\\ Symp.\\ Spread Spectrum Techn.\\ &#38; Appl.}, author={Tong, Jun and Guo, Qinghua and Ping, Li}, year={2008}, pages={555–559} }","mla":"Tong, Jun, et al. “Performance Analysis of OFDM-IDMA Systems with Peak-Power Limitation.” <i>IEEE 10th\\ Int.\\ Symp.\\ Spread Spectrum Techn.\\ &#38; Appl.</i>, 2008, pp. 555–559, doi:<a href=\"https://doi.org/10.1109/ISSSTA.2008.109\">10.1109/ISSSTA.2008.109</a>.","short":"J. Tong, Q. Guo, L. Ping, in: IEEE 10th\\ Int.\\ Symp.\\ Spread Spectrum Techn.\\ &#38; Appl., 2008, pp. 555–559."},"date_updated":"2023-01-30T11:54:33Z","date_created":"2023-01-30T11:52:04Z","author":[{"last_name":"Tong","full_name":"Tong, Jun","first_name":"Jun"},{"first_name":"Qinghua","full_name":"Guo, Qinghua","last_name":"Guo"},{"last_name":"Ping","full_name":"Ping, Li","first_name":"Li"}],"title":"Performance analysis of OFDM-IDMA systems with peak-power limitation","doi":"10.1109/ISSSTA.2008.109","publication":"IEEE 10th\\ Int.\\ Symp.\\ Spread Spectrum Techn.\\ & Appl.","type":"conference","abstract":[{"text":"This paper is concerned with orthogonal frequencydivision multiplexing interleave-division multiple-access (OFDMIDMA) systems over frequency-selective fading channels. Deliberate clipping is applied to reduce the peak-to-average power ratio (PAPR) of each user’s transmitted signal. An iterative multiuser detection (MUD) technique is developed to recover the performance loss due to clipping. A semi-analytical signal-to-noise ratio (SNR) evolution technique is proposed, which can provide quick and accurate prediction of the iterative MUD performance. Numerical results show that the performance of OFDM-IDMA is not sensitive to the frequency selectivity of channels, and OFDM-IDMA is more power-efficient than other alternative multi-carrier transmission techniques","lang":"eng"}],"status":"public","_id":"40866","department":[{"_id":"263"}],"user_id":"43497"},{"year":"2008","page":"1–5","citation":{"chicago":"Ping, Li, Jun Tong, Xiaojun Yuan, and Qinghua Guo. “Impact of Signaling Schemes on Iterative Linear Minimum-Mean-Square-Error Detection.” In <i>Proc.\\ IEEE Global Telecomm.\\ Conf.</i>, 1–5, 2008. <a href=\"https://doi.org/10.1109/GLOCOM.2008.ECP.665\">https://doi.org/10.1109/GLOCOM.2008.ECP.665</a>.","ieee":"L. Ping, J. Tong, X. Yuan, and Q. Guo, “Impact of signaling schemes on iterative linear minimum-mean-square-error detection,” in <i>Proc.\\ IEEE Global Telecomm.\\ Conf.</i>, 2008, pp. 1–5, doi: <a href=\"https://doi.org/10.1109/GLOCOM.2008.ECP.665\">10.1109/GLOCOM.2008.ECP.665</a>.","ama":"Ping L, Tong J, Yuan X, Guo Q. Impact of signaling schemes on iterative linear minimum-mean-square-error detection. In: <i>Proc.\\ IEEE Global Telecomm.\\ Conf.</i> ; 2008:1–5. doi:<a href=\"https://doi.org/10.1109/GLOCOM.2008.ECP.665\">10.1109/GLOCOM.2008.ECP.665</a>","apa":"Ping, L., Tong, J., Yuan, X., &#38; Guo, Q. (2008). Impact of signaling schemes on iterative linear minimum-mean-square-error detection. <i>Proc.\\ IEEE Global Telecomm.\\ Conf.</i>, 1–5. <a href=\"https://doi.org/10.1109/GLOCOM.2008.ECP.665\">https://doi.org/10.1109/GLOCOM.2008.ECP.665</a>","mla":"Ping, Li, et al. “Impact of Signaling Schemes on Iterative Linear Minimum-Mean-Square-Error Detection.” <i>Proc.\\ IEEE Global Telecomm.\\ Conf.</i>, 2008, pp. 1–5, doi:<a href=\"https://doi.org/10.1109/GLOCOM.2008.ECP.665\">10.1109/GLOCOM.2008.ECP.665</a>.","short":"L. Ping, J. Tong, X. Yuan, Q. Guo, in: Proc.\\ IEEE Global Telecomm.\\ Conf., 2008, pp. 1–5.","bibtex":"@inproceedings{Ping_Tong_Yuan_Guo_2008, title={Impact of signaling schemes on iterative linear minimum-mean-square-error detection}, DOI={<a href=\"https://doi.org/10.1109/GLOCOM.2008.ECP.665\">10.1109/GLOCOM.2008.ECP.665</a>}, booktitle={Proc.\\ IEEE Global Telecomm.\\ Conf.}, author={Ping, Li and Tong, Jun and Yuan, Xiaojun and Guo, Qinghua}, year={2008}, pages={1–5} }"},"title":"Impact of signaling schemes on iterative linear minimum-mean-square-error detection","doi":"10.1109/GLOCOM.2008.ECP.665","date_updated":"2023-01-30T11:55:49Z","date_created":"2023-01-30T11:52:03Z","author":[{"first_name":"Li","last_name":"Ping","full_name":"Ping, Li"},{"first_name":"Jun","last_name":"Tong","full_name":"Tong, Jun"},{"first_name":"Xiaojun","full_name":"Yuan, Xiaojun","last_name":"Yuan"},{"last_name":"Guo","full_name":"Guo, Qinghua","first_name":"Qinghua"}],"abstract":[{"lang":"eng","text":"In this paper, we study the iterative detection problem for a coded system with multi-ary modulation. We show that, with iterative linear minimum-mean-square-error (LMMSE) detection, superposition coded modulation (SCM) can provide performance superior to that with other traditional signaling schemes used in trellis coded modulation (TCM) and bit-interleaved coded modulation (BICM). This finding provides a useful guideline for system design considering inter-symbol interference (ISI) and other forms of interference. Simulation results are provided to illustrate the efficiency of the iterative LMMSE detection with different signaling schemes."}],"status":"public","publication":"Proc.\\ IEEE Global Telecomm.\\ Conf.","type":"conference","_id":"40858","department":[{"_id":"263"}],"user_id":"43497"},{"title":"Bounds on the Degree of Impropriety of Complex Random Vectors","doi":"10.1109/LSP.2007.913134","date_updated":"2023-01-30T11:55:47Z","volume":15,"author":[{"first_name":"Peter J.","last_name":"Schreier","full_name":"Schreier, Peter J."}],"date_created":"2023-01-30T11:52:03Z","year":"2008","intvolume":"        15","page":"190–193","citation":{"ama":"Schreier PJ. Bounds on the Degree of Impropriety of Complex Random Vectors. <i>IEEE Signal Process\\ Lett</i>. 2008;15:190–193. doi:<a href=\"https://doi.org/10.1109/LSP.2007.913134\">10.1109/LSP.2007.913134</a>","ieee":"P. J. Schreier, “Bounds on the Degree of Impropriety of Complex Random Vectors,” <i>IEEE Signal Process.\\ Lett.</i>, vol. 15, pp. 190–193, 2008, doi: <a href=\"https://doi.org/10.1109/LSP.2007.913134\">10.1109/LSP.2007.913134</a>.","chicago":"Schreier, Peter J. “Bounds on the Degree of Impropriety of Complex Random Vectors.” <i>IEEE Signal Process.\\ Lett.</i> 15 (2008): 190–193. <a href=\"https://doi.org/10.1109/LSP.2007.913134\">https://doi.org/10.1109/LSP.2007.913134</a>.","mla":"Schreier, Peter J. “Bounds on the Degree of Impropriety of Complex Random Vectors.” <i>IEEE Signal Process.\\ Lett.</i>, vol. 15, 2008, pp. 190–193, doi:<a href=\"https://doi.org/10.1109/LSP.2007.913134\">10.1109/LSP.2007.913134</a>.","short":"P.J. Schreier, IEEE Signal Process.\\ Lett. 15 (2008) 190–193.","bibtex":"@article{Schreier_2008, title={Bounds on the Degree of Impropriety of Complex Random Vectors}, volume={15}, DOI={<a href=\"https://doi.org/10.1109/LSP.2007.913134\">10.1109/LSP.2007.913134</a>}, journal={IEEE Signal Process.\\ Lett.}, author={Schreier, Peter J.}, year={2008}, pages={190–193} }","apa":"Schreier, P. J. (2008). Bounds on the Degree of Impropriety of Complex Random Vectors. <i>IEEE Signal Process.\\ Lett.</i>, <i>15</i>, 190–193. <a href=\"https://doi.org/10.1109/LSP.2007.913134\">https://doi.org/10.1109/LSP.2007.913134</a>"},"_id":"40859","department":[{"_id":"263"}],"user_id":"43497","abstract":[{"text":"A complex random vector is called improper if it is correlated with its complex conjugate. We introduce a measure for the degree of impropriety, which is a function of the canonical correlations between the vector and its complex conjugate (sometimes called the circularity spectrum). This measure is invariant under linear transformation, and it relates the entropy of an improper Gaussian random vector to its corresponding proper version. For vectors with given spectrum, we present upper and lower bounds on the attainable degree of impropriety, in terms of the eigenvalues of the augmented covariance matrix.","lang":"eng"}],"status":"public","publication":"IEEE Signal Process.\\ Lett.","type":"journal_article"},{"citation":{"chicago":"Wahlberg, Patrik, and Peter J. Schreier. “A Time-Frequency Formula for LMMSE Filters for Nonstationary Underspread Continuous-Time Stochastic Processes.” In <i>Proc. 16th\\ European Signal Process.\\ Conf.</i>, 2008.","ieee":"P. Wahlberg and P. J. Schreier, “A time-frequency formula for LMMSE filters for nonstationary underspread continuous-time stochastic processes,” 2008.","ama":"Wahlberg P, Schreier PJ. A time-frequency formula for LMMSE filters for nonstationary underspread continuous-time stochastic processes. In: <i>Proc. 16th\\ European Signal Process.\\ Conf.</i> ; 2008.","mla":"Wahlberg, Patrik, and Peter J. Schreier. “A Time-Frequency Formula for LMMSE Filters for Nonstationary Underspread Continuous-Time Stochastic Processes.” <i>Proc. 16th\\ European Signal Process.\\ Conf.</i>, 2008.","short":"P. Wahlberg, P.J. Schreier, in: Proc. 16th\\ European Signal Process.\\ Conf., 2008.","bibtex":"@inproceedings{Wahlberg_Schreier_2008, title={A time-frequency formula for LMMSE filters for nonstationary underspread continuous-time stochastic processes}, booktitle={Proc. 16th\\ European Signal Process.\\ Conf.}, author={Wahlberg, Patrik and Schreier, Peter J.}, year={2008} }","apa":"Wahlberg, P., &#38; Schreier, P. J. (2008). A time-frequency formula for LMMSE filters for nonstationary underspread continuous-time stochastic processes. <i>Proc. 16th\\ European Signal Process.\\ Conf.</i>"},"year":"2008","title":"A time-frequency formula for LMMSE filters for nonstationary underspread continuous-time stochastic processes","author":[{"first_name":"Patrik","last_name":"Wahlberg","full_name":"Wahlberg, Patrik"},{"first_name":"Peter J.","last_name":"Schreier","full_name":"Schreier, Peter J."}],"date_created":"2023-01-30T11:52:04Z","date_updated":"2023-01-30T11:56:10Z","status":"public","abstract":[{"lang":"eng","text":"We study linear minimum mean square error (LMMSE) filters for estimating a nonstationary second-order continuous-time stochastic process from a noisy observation. The equation for the optimal filter is treated in the Weyl symbol domain, and the involved Weyl symbols are assumed to belong to certain modulation spaces. By discretizing this equation using a Gabor frame we transform it into a matrix equation and obtain a formula for the filter by matrix inversion. The inverse matrix has off-diagonal decay at a rate that increases the more underspread the process is."}],"type":"conference","publication":"Proc. 16th\\ European Signal Process.\\ Conf.","user_id":"43497","department":[{"_id":"263"}],"_id":"40867"},{"department":[{"_id":"263"}],"user_id":"43497","_id":"40865","status":"public","abstract":[{"text":"In this paper we study space-time coding schemes for a novel MIMO transceiver which performs adaptive signal combining in radio-frequency (RF). The limitations of the RF circuitry make necessary to develop specific designs for this architecture. For instance, the space and time encoders must operate separately (the former works in the RF domain and the latter works in baseband), and at different time scales: the spatial encoder or RF beamformer must remain fixed dur- ing the transmission of a probably large number of symbols, whereas the time-encoder can work at the symbol rate. We show in the paper that although the multiplexing gain of the system is limited to one, we are still able to achieve the full spatial diversity of the MIMO channel as well as to increase the received signal-to-noise ratio through array gain. Specifically, when perfect channel state information (CSI) is available only at the receiver we propose to use a scheme referred to as orthogonal beam division multiplexing (OBDM). With this scheme the symbols are time-precoded with a unitary discrete Fourier transform (DFT) matrix, then they are successively transmitted through orthogonal direc- tions and, finally, we use a receiver comprising maximal ra- tio combining (MRC) followed by a minimum mean-square error (MMSE) decoder. The performance of the proposed techniques in terms of outage capacity and bit error rate is illustrated by means of several simulations examples.","lang":"eng"}],"publication":"Proc.\\ Eur.\\ Signal Process.\\ Conf.","type":"conference","title":"Optimal MIMO transmission schemes with adaptive antenna combining in the RF path","date_created":"2023-01-30T11:52:04Z","author":[{"full_name":"Santamaría, I.","last_name":"Santamaría","first_name":"I."},{"first_name":"V.","full_name":"Elvira, V.","last_name":"Elvira"},{"last_name":"Vía","full_name":"Vía, J.","first_name":"J."},{"first_name":"D.","full_name":"Ramírez, D.","last_name":"Ramírez"},{"first_name":"J.","full_name":"Pérez, J.","last_name":"Pérez"},{"full_name":"Ibáñez, J.","last_name":"Ibáñez","first_name":"J."},{"first_name":"R.","last_name":"Eickhoff","full_name":"Eickhoff, R."},{"last_name":"Ellinger","full_name":"Ellinger, F.","first_name":"F."}],"date_updated":"2023-01-30T11:54:37Z","citation":{"apa":"Santamaría, I., Elvira, V., Vía, J., Ramírez, D., Pérez, J., Ibáñez, J., Eickhoff, R., &#38; Ellinger, F. (2008). Optimal MIMO transmission schemes with adaptive antenna combining in the RF path. <i>Proc.\\ Eur.\\ Signal Process.\\ Conf.</i>","bibtex":"@inproceedings{Santamaría_Elvira_Vía_Ramírez_Pérez_Ibáñez_Eickhoff_Ellinger_2008, place={Lausanne, Switzerland}, title={Optimal MIMO transmission schemes with adaptive antenna combining in the RF path}, booktitle={Proc.\\ Eur.\\ Signal Process.\\ Conf.}, author={Santamaría, I. and Elvira, V. and Vía, J. and Ramírez, D. and Pérez, J. and Ibáñez, J. and Eickhoff, R. and Ellinger, F.}, year={2008} }","mla":"Santamaría, I., et al. “Optimal MIMO Transmission Schemes with Adaptive Antenna Combining in the RF Path.” <i>Proc.\\ Eur.\\ Signal Process.\\ Conf.</i>, 2008.","short":"I. Santamaría, V. Elvira, J. Vía, D. Ramírez, J. Pérez, J. Ibáñez, R. Eickhoff, F. Ellinger, in: Proc.\\ Eur.\\ Signal Process.\\ Conf., Lausanne, Switzerland, 2008.","chicago":"Santamaría, I., V. Elvira, J. Vía, D. Ramírez, J. Pérez, J. Ibáñez, R. Eickhoff, and F. Ellinger. “Optimal MIMO Transmission Schemes with Adaptive Antenna Combining in the RF Path.” In <i>Proc.\\ Eur.\\ Signal Process.\\ Conf.</i> Lausanne, Switzerland, 2008.","ieee":"I. Santamaría <i>et al.</i>, “Optimal MIMO transmission schemes with adaptive antenna combining in the RF path,” 2008.","ama":"Santamaría I, Elvira V, Vía J, et al. Optimal MIMO transmission schemes with adaptive antenna combining in the RF path. In: <i>Proc.\\ Eur.\\ Signal Process.\\ Conf.</i> ; 2008."},"year":"2008","place":"Lausanne, Switzerland"},{"_id":"40872","department":[{"_id":"263"}],"user_id":"43497","abstract":[{"lang":"eng","text":"We study continuous-time multidimensional wide- sense stationary (WSS) and (almost) cyclostationary processes in the frequency domain. Under the assumption that the correlation function is uniformly continuous, we prove the existence of a unique sequence of spectral measures, which coincide with the restrictions to certain subdiagonals of the spectral measure in the strongly harmonizable case. Moreover, the off-diagonal measures are absolutely continuous with respect to the diagonal measure. As a consequence, for strongly harmonizable scalar improper almost cyclostationary processes, we obtain representation formulas for the components of the complementary spectral measure and the off-diagonal components of the spectral measure, in terms of the diagonal component of the spectral measure. We apply these results to analytic signals, which produces sufficient conditions for propriety for almost cyclostationary analytic signals."}],"status":"public","publication":"IEEE Trans.\\ Inform.\\ Theory","type":"journal_article","title":"Spectral Relations for Multidimensional Complex Improper Stationary and (Almost) Cyclostationary Processes","doi":"10.1109/TIT.2008.917626","date_updated":"2023-01-30T11:54:54Z","volume":54,"date_created":"2023-01-30T11:52:05Z","author":[{"first_name":"Patrik","full_name":"Wahlberg, Patrik","last_name":"Wahlberg"},{"full_name":"Schreier, Peter J.","last_name":"Schreier","first_name":"Peter J."}],"year":"2008","page":"1670–1682","intvolume":"        54","citation":{"apa":"Wahlberg, P., &#38; Schreier, P. J. (2008). Spectral Relations for Multidimensional Complex Improper Stationary and (Almost) Cyclostationary Processes. <i>IEEE Trans.\\ Inform.\\ Theory</i>, <i>54</i>(4), 1670–1682. <a href=\"https://doi.org/10.1109/TIT.2008.917626\">https://doi.org/10.1109/TIT.2008.917626</a>","bibtex":"@article{Wahlberg_Schreier_2008, title={Spectral Relations for Multidimensional Complex Improper Stationary and (Almost) Cyclostationary Processes}, volume={54}, DOI={<a href=\"https://doi.org/10.1109/TIT.2008.917626\">10.1109/TIT.2008.917626</a>}, number={4}, journal={IEEE Trans.\\ Inform.\\ Theory}, author={Wahlberg, Patrik and Schreier, Peter J.}, year={2008}, pages={1670–1682} }","mla":"Wahlberg, Patrik, and Peter J. Schreier. “Spectral Relations for Multidimensional Complex Improper Stationary and (Almost) Cyclostationary Processes.” <i>IEEE Trans.\\ Inform.\\ Theory</i>, vol. 54, no. 4, 2008, pp. 1670–1682, doi:<a href=\"https://doi.org/10.1109/TIT.2008.917626\">10.1109/TIT.2008.917626</a>.","short":"P. Wahlberg, P.J. Schreier, IEEE Trans.\\ Inform.\\ Theory 54 (2008) 1670–1682.","ieee":"P. Wahlberg and P. J. Schreier, “Spectral Relations for Multidimensional Complex Improper Stationary and (Almost) Cyclostationary Processes,” <i>IEEE Trans.\\ Inform.\\ Theory</i>, vol. 54, no. 4, pp. 1670–1682, 2008, doi: <a href=\"https://doi.org/10.1109/TIT.2008.917626\">10.1109/TIT.2008.917626</a>.","chicago":"Wahlberg, Patrik, and Peter J. Schreier. “Spectral Relations for Multidimensional Complex Improper Stationary and (Almost) Cyclostationary Processes.” <i>IEEE Trans.\\ Inform.\\ Theory</i> 54, no. 4 (2008): 1670–1682. <a href=\"https://doi.org/10.1109/TIT.2008.917626\">https://doi.org/10.1109/TIT.2008.917626</a>.","ama":"Wahlberg P, Schreier PJ. Spectral Relations for Multidimensional Complex Improper Stationary and (Almost) Cyclostationary Processes. <i>IEEE Trans\\ Inform\\ Theory</i>. 2008;54(4):1670–1682. doi:<a href=\"https://doi.org/10.1109/TIT.2008.917626\">10.1109/TIT.2008.917626</a>"},"issue":"4"},{"issue":"5","year":"2008","citation":{"apa":"Tong, J., Guo, Q., &#38; Ping, L. (2008). Analysis and design of OFDM-IDMA systems. <i>European Trans.\\ Comm.</i>, <i>19</i>(5), 561–569. <a href=\"https://doi.org/10.1002/ett.1304\">https://doi.org/10.1002/ett.1304</a>","bibtex":"@article{Tong_Guo_Ping_2008, title={Analysis and design of OFDM-IDMA systems}, volume={19}, DOI={<a href=\"https://doi.org/10.1002/ett.1304\">10.1002/ett.1304</a>}, number={5}, journal={European Trans.\\ Comm.}, publisher={John Wiley &#38; Sons}, author={Tong, Jun and Guo, Qinghua and Ping, Li}, year={2008}, pages={561–569} }","mla":"Tong, Jun, et al. “Analysis and Design of OFDM-IDMA Systems.” <i>European Trans.\\ Comm.</i>, vol. 19, no. 5, John Wiley &#38; Sons, 2008, pp. 561–569, doi:<a href=\"https://doi.org/10.1002/ett.1304\">10.1002/ett.1304</a>.","short":"J. Tong, Q. Guo, L. Ping, European Trans.\\ Comm. 19 (2008) 561–569.","ama":"Tong J, Guo Q, Ping L. Analysis and design of OFDM-IDMA systems. <i>European Trans\\ Comm</i>. 2008;19(5):561–569. doi:<a href=\"https://doi.org/10.1002/ett.1304\">10.1002/ett.1304</a>","chicago":"Tong, Jun, Qinghua Guo, and Li Ping. “Analysis and Design of OFDM-IDMA Systems.” <i>European Trans.\\ Comm.</i> 19, no. 5 (2008): 561–569. <a href=\"https://doi.org/10.1002/ett.1304\">https://doi.org/10.1002/ett.1304</a>.","ieee":"J. Tong, Q. Guo, and L. Ping, “Analysis and design of OFDM-IDMA systems,” <i>European Trans.\\ Comm.</i>, vol. 19, no. 5, pp. 561–569, 2008, doi: <a href=\"https://doi.org/10.1002/ett.1304\">10.1002/ett.1304</a>."},"intvolume":"        19","page":"561–569","publisher":"John Wiley & Sons","date_updated":"2023-01-30T11:56:01Z","date_created":"2023-01-30T11:52:03Z","author":[{"full_name":"Tong, Jun","last_name":"Tong","first_name":"Jun"},{"full_name":"Guo, Qinghua","last_name":"Guo","first_name":"Qinghua"},{"first_name":"Li","last_name":"Ping","full_name":"Ping, Li"}],"volume":19,"title":"Analysis and design of OFDM-IDMA systems","doi":"10.1002/ett.1304","type":"journal_article","publication":"European Trans.\\ Comm.","abstract":[{"text":"This paper deals with the analysis and design of orthogonal frequency-division multiplexing interleave-division multiple-access (OFDM-IDMA). We begin with the analysis of the information-theoretical advantages of non-orthogonal transmission schemes in fading multiple-access channels. We then turn attention to practical design issues. A signal-to-noise ratio (SNR) evolution technique is developed to predict the bit-error-rate (BER) performance of OFDM-IDMA. This technique is applied to system design and optimisation. Through proper power allocation, OFDM-IDMA can achieve the multi-user gain (MUG) predicted by information-theoretical analysis. It is also an attractive option in compensating for the clipping effect caused by peak-power limitation. Numerical examples show that OFDM-IDMA can (i) alleviate the PAPR problem commonly suffered by OFDM-based schemes; (ii) deliver significant MUG compared with other orthogonal alternatives; (iii) provide robust communications in frequency-selective channels; and (iv) support high single-user throughput. Copyright {\\copyright} 2008 John Wiley & Sons, Ltd.","lang":"eng"}],"status":"public","_id":"40860","user_id":"43497","department":[{"_id":"263"}]},{"date_updated":"2023-01-30T11:56:07Z","volume":56,"date_created":"2023-01-30T11:52:04Z","author":[{"full_name":"Schreier, Peter J.","last_name":"Schreier","first_name":"Peter J."}],"title":"A Unifying Discussion of Correlation Analysis for Complex Random Vectors","doi":"10.1109/TSP.2007.909054","issue":"4","year":"2008","intvolume":"        56","page":"1327–1336","citation":{"short":"P.J. Schreier, {IEEE} {T}rans.\\ {S}ignal\\ {P}rocess. 56 (2008) 1327–1336.","mla":"Schreier, Peter J. “A Unifying Discussion of Correlation Analysis for Complex Random Vectors.” <i>{IEEE} {T}rans.\\ {S}ignal\\ {P}rocess.</i>, vol. 56, no. 4, 2008, pp. 1327–1336, doi:<a href=\"https://doi.org/10.1109/TSP.2007.909054\">10.1109/TSP.2007.909054</a>.","bibtex":"@article{Schreier_2008, title={A Unifying Discussion of Correlation Analysis for Complex Random Vectors}, volume={56}, DOI={<a href=\"https://doi.org/10.1109/TSP.2007.909054\">10.1109/TSP.2007.909054</a>}, number={4}, journal={{IEEE} {T}rans.\\ {S}ignal\\ {P}rocess.}, author={Schreier, Peter J.}, year={2008}, pages={1327–1336} }","apa":"Schreier, P. J. (2008). A Unifying Discussion of Correlation Analysis for Complex Random Vectors. <i>{IEEE} {T}rans.\\ {S}ignal\\ {P}rocess.</i>, <i>56</i>(4), 1327–1336. <a href=\"https://doi.org/10.1109/TSP.2007.909054\">https://doi.org/10.1109/TSP.2007.909054</a>","ama":"Schreier PJ. A Unifying Discussion of Correlation Analysis for Complex Random Vectors. <i>{IEEE} {T}rans\\ {S}ignal\\ {P}rocess</i>. 2008;56(4):1327–1336. doi:<a href=\"https://doi.org/10.1109/TSP.2007.909054\">10.1109/TSP.2007.909054</a>","chicago":"Schreier, Peter J. “A Unifying Discussion of Correlation Analysis for Complex Random Vectors.” <i>{IEEE} {T}rans.\\ {S}ignal\\ {P}rocess.</i> 56, no. 4 (2008): 1327–1336. <a href=\"https://doi.org/10.1109/TSP.2007.909054\">https://doi.org/10.1109/TSP.2007.909054</a>.","ieee":"P. J. Schreier, “A Unifying Discussion of Correlation Analysis for Complex Random Vectors,” <i>{IEEE} {T}rans.\\ {S}ignal\\ {P}rocess.</i>, vol. 56, no. 4, pp. 1327–1336, 2008, doi: <a href=\"https://doi.org/10.1109/TSP.2007.909054\">10.1109/TSP.2007.909054</a>."},"_id":"40870","department":[{"_id":"263"}],"user_id":"43497","publication":"{IEEE} {T}rans.\\ {S}ignal\\ {P}rocess.","type":"journal_article","abstract":[{"text":"The assessment of multivariate association between two complex random vectors is considered. A number of correlation coefficients based on three popular correlation analysis techniques, namely canonical correlation analysis, multivariate linear regression, and partial least squares, are reviewed and connected to performance measures in signal processing and communications, such as mean-squared estimation error, mutual information, and signal-to-noise ratio (SNR). For complex data, there are three types of correlation coefficients, which account for rotational, reflectional, and total (i.e., rotational and reflectional) dependencies between two random vectors. These three types are defined and analyzed for different correlation coefficients, and a numerical example is given. It is often required to compare two complex random vectors in a lower-dimensional subspace. For the large class of increasing, Schur-convex correlation coefficients, it is shown that the low-rank approximations of two random vectors maximizing a particular correlation coefficient are determined only by the constraints imposed on the correlation analysis technique. In this context, the correlation spread is defined as a normalized measure of how much of the overall correlation is contained in a low-dimensional subspace.","lang":"eng"}],"status":"public"},{"abstract":[{"text":"We present a novel way of extending rotary-component and polarization analysis to nonstationary random signals. If a complex signal is resolved into counterclockwise and clockwise rotating phasors at one particular frequency only, it traces out an ellipse in the complex plane. Rotary-component analysis characterizes this ellipse in terms of its shape and orientation. Polarization analysis looks at the coherence between counterclockwise and clockwise rotating phasors and whether there is a preferred rotation direction of the ellipse (counterclockwise or clockwise). In the nonstationary case, we replace this ellipse with a time-dependent local ellipse that, at a given time instant, gives the best local approximation of the signal from a given frequency component. This local ellipse is then analyzed in terms of its shape, orientation, and degree of polarization. A time-frequency coherence measures how well the local ellipse approximates the signal. The ellipse parameters and the time-frequency coherence can be expressed in terms of the Rihaczek time-frequency distribution. Under coordinate rotation, the ellipse shape, the degree of polarization, and the time-frequency coherence are invariant, and the ellipse orientation is covariant. The methods presented in this paper provide an alternative to ellipse decompositions based on wavelet ridge analysis.","lang":"eng"}],"status":"public","publication":"{IEEE} {T}rans.\\ {S}ignal\\ {P}rocess.","type":"journal_article","_id":"40864","department":[{"_id":"263"}],"user_id":"43497","year":"2008","intvolume":"        56","page":"4330–4339","citation":{"apa":"Schreier, P. J. (2008). Polarization Ellipse Analysis of Nonstationary Random Signals. <i>{IEEE} {T}rans.\\ {S}ignal\\ {P}rocess.</i>, <i>56</i>(9), 4330–4339. <a href=\"https://doi.org/10.1109/TSP.2008.925961\">https://doi.org/10.1109/TSP.2008.925961</a>","short":"P.J. Schreier, {IEEE} {T}rans.\\ {S}ignal\\ {P}rocess. 56 (2008) 4330–4339.","mla":"Schreier, Peter J. “Polarization Ellipse Analysis of Nonstationary Random Signals.” <i>{IEEE} {T}rans.\\ {S}ignal\\ {P}rocess.</i>, vol. 56, no. 9, 2008, pp. 4330–4339, doi:<a href=\"https://doi.org/10.1109/TSP.2008.925961\">10.1109/TSP.2008.925961</a>.","bibtex":"@article{Schreier_2008, title={Polarization Ellipse Analysis of Nonstationary Random Signals}, volume={56}, DOI={<a href=\"https://doi.org/10.1109/TSP.2008.925961\">10.1109/TSP.2008.925961</a>}, number={9}, journal={{IEEE} {T}rans.\\ {S}ignal\\ {P}rocess.}, author={Schreier, Peter J.}, year={2008}, pages={4330–4339} }","ieee":"P. J. Schreier, “Polarization Ellipse Analysis of Nonstationary Random Signals,” <i>{IEEE} {T}rans.\\ {S}ignal\\ {P}rocess.</i>, vol. 56, no. 9, pp. 4330–4339, 2008, doi: <a href=\"https://doi.org/10.1109/TSP.2008.925961\">10.1109/TSP.2008.925961</a>.","chicago":"Schreier, Peter J. “Polarization Ellipse Analysis of Nonstationary Random Signals.” <i>{IEEE} {T}rans.\\ {S}ignal\\ {P}rocess.</i> 56, no. 9 (2008): 4330–4339. <a href=\"https://doi.org/10.1109/TSP.2008.925961\">https://doi.org/10.1109/TSP.2008.925961</a>.","ama":"Schreier PJ. Polarization Ellipse Analysis of Nonstationary Random Signals. <i>{IEEE} {T}rans\\ {S}ignal\\ {P}rocess</i>. 2008;56(9):4330–4339. doi:<a href=\"https://doi.org/10.1109/TSP.2008.925961\">10.1109/TSP.2008.925961</a>"},"issue":"9","title":"Polarization Ellipse Analysis of Nonstationary Random Signals","doi":"10.1109/TSP.2008.925961","date_updated":"2023-01-30T11:55:58Z","volume":56,"author":[{"full_name":"Schreier, Peter J.","last_name":"Schreier","first_name":"Peter J."}],"date_created":"2023-01-30T11:52:03Z"},{"department":[{"_id":"263"}],"user_id":"43497","_id":"40869","publication":"Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.","type":"conference","status":"public","abstract":[{"lang":"eng","text":"The coherence spectrum is a well-known measure of the linear statistical relationship between two time series. In this paper, we extend this concept to several processes and define the generalized magnitude squared coherence (GMSC) spectrum as a function of the largest eigenvalue of a matrix containing all the pairwise complex coherence spectra. The GMSC is bounded between zero and one, and attains its maximum when all the processes are perfectly correlated at a given frequency. Furthermore, three different GMSC spectrum estimators, extending those previously proposed for the MSC of two processes, are presented. Specifically, we compare the Welch method, the minimum variance distortionless response (MVDR) estimator and a new estimator based on canonical correlation analysis (CCA)."}],"author":[{"full_name":"Ramírez, D.","last_name":"Ramírez","first_name":"D."},{"full_name":"Vía, J.","last_name":"Vía","first_name":"J."},{"full_name":"Santamaría, I.","last_name":"Santamaría","first_name":"I."}],"date_created":"2023-01-30T11:52:04Z","date_updated":"2023-01-30T11:56:05Z","doi":"10.1109/ICASSP.2008.4518473","title":"A generalization of the magnitude squared coherence spectrum for more than two signals: definition, properties and estimation","citation":{"ama":"Ramírez D, Vía J, Santamaría I. A generalization of the magnitude squared coherence spectrum for more than two signals: definition, properties and estimation. In: <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i> ; 2008. doi:<a href=\"https://doi.org/10.1109/ICASSP.2008.4518473\">10.1109/ICASSP.2008.4518473</a>","chicago":"Ramírez, D., J. Vía, and I. Santamaría. “A Generalization of the Magnitude Squared Coherence Spectrum for More than Two Signals: Definition, Properties and Estimation.” In <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i> Las Vegas, USA, 2008. <a href=\"https://doi.org/10.1109/ICASSP.2008.4518473\">https://doi.org/10.1109/ICASSP.2008.4518473</a>.","ieee":"D. Ramírez, J. Vía, and I. Santamaría, “A generalization of the magnitude squared coherence spectrum for more than two signals: definition, properties and estimation,” 2008, doi: <a href=\"https://doi.org/10.1109/ICASSP.2008.4518473\">10.1109/ICASSP.2008.4518473</a>.","apa":"Ramírez, D., Vía, J., &#38; Santamaría, I. (2008). A generalization of the magnitude squared coherence spectrum for more than two signals: definition, properties and estimation. <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i> <a href=\"https://doi.org/10.1109/ICASSP.2008.4518473\">https://doi.org/10.1109/ICASSP.2008.4518473</a>","bibtex":"@inproceedings{Ramírez_Vía_Santamaría_2008, place={Las Vegas, USA}, title={A generalization of the magnitude squared coherence spectrum for more than two signals: definition, properties and estimation}, DOI={<a href=\"https://doi.org/10.1109/ICASSP.2008.4518473\">10.1109/ICASSP.2008.4518473</a>}, booktitle={Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.}, author={Ramírez, D. and Vía, J. and Santamaría, I.}, year={2008} }","mla":"Ramírez, D., et al. “A Generalization of the Magnitude Squared Coherence Spectrum for More than Two Signals: Definition, Properties and Estimation.” <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i>, 2008, doi:<a href=\"https://doi.org/10.1109/ICASSP.2008.4518473\">10.1109/ICASSP.2008.4518473</a>.","short":"D. Ramírez, J. Vía, I. Santamaría, in: Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process., Las Vegas, USA, 2008."},"place":"Las Vegas, USA","year":"2008"},{"status":"public","abstract":[{"text":"This paper is concerned with coded multi-ary systems over linear channels. Based on a semi-analytical evolution technique, the impact of signaling schemes on the performance of low-cost iterative linear minimum-mean-square-error (LMMSE) detection is studied. It is shown that superposition coded modulation (SCM) maximizes the output signal-to-noise ratio (SNR) of LMMSE detectors. Consequently, SCM may potentially outperform other conventional signaling schemes when LMMSE detectors are used. Numerical examples are provided to verify the theoretical analysis.","lang":"eng"}],"type":"conference","publication":"5th\\ Int.\\ Symp.\\ Turbo Codes & Rel.\\ Top.","user_id":"43497","department":[{"_id":"263"}],"_id":"40863","citation":{"apa":"Ping, L., Tong, J., Yuan, X., &#38; Guo, Q. (2008). Performance analysis of multi-ary systems with iterative linear minimum-mean-square-error detection. <i>5th\\ Int.\\ Symp.\\ Turbo Codes &#38; Rel.\\ Top.</i>, 192–197. <a href=\"https://doi.org/10.1109/TURBOCODING.2008.4658696\">https://doi.org/10.1109/TURBOCODING.2008.4658696</a>","bibtex":"@inproceedings{Ping_Tong_Yuan_Guo_2008, title={Performance analysis of multi-ary systems with iterative linear minimum-mean-square-error detection}, DOI={<a href=\"https://doi.org/10.1109/TURBOCODING.2008.4658696\">10.1109/TURBOCODING.2008.4658696</a>}, booktitle={5th\\ Int.\\ Symp.\\ Turbo Codes &#38; Rel.\\ Top.}, author={Ping, Li and Tong, Jun and Yuan, Xiaojun and Guo, Qinghua}, year={2008}, pages={192–197} }","short":"L. Ping, J. Tong, X. Yuan, Q. Guo, in: 5th\\ Int.\\ Symp.\\ Turbo Codes &#38; Rel.\\ Top., 2008, pp. 192–197.","mla":"Ping, Li, et al. “Performance Analysis of Multi-Ary Systems with Iterative Linear Minimum-Mean-Square-Error Detection.” <i>5th\\ Int.\\ Symp.\\ Turbo Codes &#38; Rel.\\ Top.</i>, 2008, pp. 192–197, doi:<a href=\"https://doi.org/10.1109/TURBOCODING.2008.4658696\">10.1109/TURBOCODING.2008.4658696</a>.","ama":"Ping L, Tong J, Yuan X, Guo Q. Performance analysis of multi-ary systems with iterative linear minimum-mean-square-error detection. In: <i>5th\\ Int.\\ Symp.\\ Turbo Codes &#38; Rel.\\ Top.</i> ; 2008:192–197. doi:<a href=\"https://doi.org/10.1109/TURBOCODING.2008.4658696\">10.1109/TURBOCODING.2008.4658696</a>","chicago":"Ping, Li, Jun Tong, Xiaojun Yuan, and Qinghua Guo. “Performance Analysis of Multi-Ary Systems with Iterative Linear Minimum-Mean-Square-Error Detection.” In <i>5th\\ Int.\\ Symp.\\ Turbo Codes &#38; Rel.\\ Top.</i>, 192–197, 2008. <a href=\"https://doi.org/10.1109/TURBOCODING.2008.4658696\">https://doi.org/10.1109/TURBOCODING.2008.4658696</a>.","ieee":"L. Ping, J. Tong, X. Yuan, and Q. Guo, “Performance analysis of multi-ary systems with iterative linear minimum-mean-square-error detection,” in <i>5th\\ Int.\\ Symp.\\ Turbo Codes &#38; Rel.\\ Top.</i>, 2008, pp. 192–197, doi: <a href=\"https://doi.org/10.1109/TURBOCODING.2008.4658696\">10.1109/TURBOCODING.2008.4658696</a>."},"page":"192–197","year":"2008","doi":"10.1109/TURBOCODING.2008.4658696","title":"Performance analysis of multi-ary systems with iterative linear minimum-mean-square-error detection","author":[{"last_name":"Ping","full_name":"Ping, Li","first_name":"Li"},{"first_name":"Jun","full_name":"Tong, Jun","last_name":"Tong"},{"full_name":"Yuan, Xiaojun","last_name":"Yuan","first_name":"Xiaojun"},{"first_name":"Qinghua","full_name":"Guo, Qinghua","last_name":"Guo"}],"date_created":"2023-01-30T11:52:03Z","date_updated":"2023-01-30T11:55:56Z"},{"volume":8,"date_created":"2023-01-30T11:52:03Z","author":[{"last_name":"Ramírez","full_name":"Ramírez, D.","first_name":"D."},{"first_name":"I.","last_name":"Santamaría","full_name":"Santamaría, I."},{"full_name":"Pérez, J.","last_name":"Pérez","first_name":"J."},{"first_name":"J.","full_name":"Vía, J.","last_name":"Vía"},{"full_name":"García-Naya, J. A.","last_name":"García-Naya","first_name":"J. A."},{"first_name":"T. M.","full_name":"Fernández-Caramés, T. M.","last_name":"Fernández-Caramés"},{"first_name":"H.","full_name":"Pérez-Iglesias, H.","last_name":"Pérez-Iglesias"},{"full_name":"López, M. González","last_name":"López","first_name":"M. González"},{"first_name":"L.","full_name":"Castedo, L.","last_name":"Castedo"},{"full_name":"Torres-Royo, J. M.","last_name":"Torres-Royo","first_name":"J. M."}],"date_updated":"2023-01-30T11:55:54Z","doi":"10.1002/wcm.558","title":"A comparative study of STBC transmissions at 2.4 GHz over indoor channels using a $2 \\times 2$ MIMO testbed","issue":"9","page":"1149–1164","intvolume":"         8","citation":{"chicago":"Ramírez, D., I. Santamaría, J. Pérez, J. Vía, J. A. García-Naya, T. M. Fernández-Caramés, H. Pérez-Iglesias, M. González López, L. Castedo, and J. M. Torres-Royo. “A Comparative Study of STBC Transmissions at 2.4 GHz over Indoor Channels Using a $2 \\times 2$ MIMO Testbed.” <i>Wireless Comm. and Mobile Computing</i> 8, no. 9 (2008): 1149–1164. <a href=\"https://doi.org/10.1002/wcm.558\">https://doi.org/10.1002/wcm.558</a>.","ieee":"D. Ramírez <i>et al.</i>, “A comparative study of STBC transmissions at 2.4 GHz over indoor channels using a $2 \\times 2$ MIMO testbed,” <i>Wireless Comm. and Mobile Computing</i>, vol. 8, no. 9, pp. 1149–1164, 2008, doi: <a href=\"https://doi.org/10.1002/wcm.558\">10.1002/wcm.558</a>.","ama":"Ramírez D, Santamaría I, Pérez J, et al. A comparative study of STBC transmissions at 2.4 GHz over indoor channels using a $2 \\times 2$ MIMO testbed. <i>Wireless Comm and Mobile Computing</i>. 2008;8(9):1149–1164. doi:<a href=\"https://doi.org/10.1002/wcm.558\">10.1002/wcm.558</a>","short":"D. Ramírez, I. Santamaría, J. Pérez, J. Vía, J.A. García-Naya, T.M. Fernández-Caramés, H. Pérez-Iglesias, M.G. López, L. Castedo, J.M. Torres-Royo, Wireless Comm. and Mobile Computing 8 (2008) 1149–1164.","mla":"Ramírez, D., et al. “A Comparative Study of STBC Transmissions at 2.4 GHz over Indoor Channels Using a $2 \\times 2$ MIMO Testbed.” <i>Wireless Comm. and Mobile Computing</i>, vol. 8, no. 9, 2008, pp. 1149–1164, doi:<a href=\"https://doi.org/10.1002/wcm.558\">10.1002/wcm.558</a>.","bibtex":"@article{Ramírez_Santamaría_Pérez_Vía_García-Naya_Fernández-Caramés_Pérez-Iglesias_López_Castedo_Torres-Royo_2008, title={A comparative study of STBC transmissions at 2.4 GHz over indoor channels using a $2 \\times 2$ MIMO testbed}, volume={8}, DOI={<a href=\"https://doi.org/10.1002/wcm.558\">10.1002/wcm.558</a>}, number={9}, journal={Wireless Comm. and Mobile Computing}, author={Ramírez, D. and Santamaría, I. and Pérez, J. and Vía, J. and García-Naya, J. A. and Fernández-Caramés, T. M. and Pérez-Iglesias, H. and López, M. González and Castedo, L. and Torres-Royo, J. M.}, year={2008}, pages={1149–1164} }","apa":"Ramírez, D., Santamaría, I., Pérez, J., Vía, J., García-Naya, J. A., Fernández-Caramés, T. M., Pérez-Iglesias, H., López, M. G., Castedo, L., &#38; Torres-Royo, J. M. (2008). A comparative study of STBC transmissions at 2.4 GHz over indoor channels using a $2 \\times 2$ MIMO testbed. <i>Wireless Comm. and Mobile Computing</i>, <i>8</i>(9), 1149–1164. <a href=\"https://doi.org/10.1002/wcm.558\">https://doi.org/10.1002/wcm.558</a>"},"year":"2008","department":[{"_id":"263"}],"user_id":"43497","_id":"40862","publication":"Wireless Comm. and Mobile Computing","type":"journal_article","status":"public"},{"user_id":"43497","department":[{"_id":"263"}],"_id":"40861","type":"conference","publication":"Proc.\\ IEEE Global Telecomm.\\ Conf.","status":"public","abstract":[{"text":"This paper studies orthogonal frequency-division multiplexing (OFDM) systems employing coded modulation. Clipping is applied to reduce the peak-to-average-power-ratio (PAPR) of the transmit signal. A soft compensation method is proposed to combat the clipping effect. It is shown that the proposed method can outperform conventional clipping effect mitigation methods. The impact of signaling schemes of the coded modulation on system performance is investigated. The average variance analysis and numerical results demonstrate that superposition coded modulation (SCM) together with the proposed detection technique provides a simple and efficient solution to clipped OFDM transmission.","lang":"eng"}],"date_created":"2023-01-30T11:52:03Z","author":[{"full_name":"Tong, Jun","last_name":"Tong","first_name":"Jun"},{"last_name":"Ping","full_name":"Ping, Li","first_name":"Li"}],"date_updated":"2023-01-30T11:55:52Z","doi":"10.1109/GLOCOM.2008.ECP.225","title":"Iterative detection techniques for clipped OFDM systems","citation":{"bibtex":"@inproceedings{Tong_Ping_2008, title={Iterative detection techniques for clipped OFDM systems}, DOI={<a href=\"https://doi.org/10.1109/GLOCOM.2008.ECP.225\">10.1109/GLOCOM.2008.ECP.225</a>}, booktitle={Proc.\\ IEEE Global Telecomm.\\ Conf.}, author={Tong, Jun and Ping, Li}, year={2008}, pages={1–5} }","short":"J. Tong, L. Ping, in: Proc.\\ IEEE Global Telecomm.\\ Conf., 2008, pp. 1–5.","mla":"Tong, Jun, and Li Ping. “Iterative Detection Techniques for Clipped OFDM Systems.” <i>Proc.\\ IEEE Global Telecomm.\\ Conf.</i>, 2008, pp. 1–5, doi:<a href=\"https://doi.org/10.1109/GLOCOM.2008.ECP.225\">10.1109/GLOCOM.2008.ECP.225</a>.","apa":"Tong, J., &#38; Ping, L. (2008). Iterative detection techniques for clipped OFDM systems. <i>Proc.\\ IEEE Global Telecomm.\\ Conf.</i>, 1–5. <a href=\"https://doi.org/10.1109/GLOCOM.2008.ECP.225\">https://doi.org/10.1109/GLOCOM.2008.ECP.225</a>","ama":"Tong J, Ping L. Iterative detection techniques for clipped OFDM systems. In: <i>Proc.\\ IEEE Global Telecomm.\\ Conf.</i> ; 2008:1–5. doi:<a href=\"https://doi.org/10.1109/GLOCOM.2008.ECP.225\">10.1109/GLOCOM.2008.ECP.225</a>","chicago":"Tong, Jun, and Li Ping. “Iterative Detection Techniques for Clipped OFDM Systems.” In <i>Proc.\\ IEEE Global Telecomm.\\ Conf.</i>, 1–5, 2008. <a href=\"https://doi.org/10.1109/GLOCOM.2008.ECP.225\">https://doi.org/10.1109/GLOCOM.2008.ECP.225</a>.","ieee":"J. Tong and L. Ping, “Iterative detection techniques for clipped OFDM systems,” in <i>Proc.\\ IEEE Global Telecomm.\\ Conf.</i>, 2008, pp. 1–5, doi: <a href=\"https://doi.org/10.1109/GLOCOM.2008.ECP.225\">10.1109/GLOCOM.2008.ECP.225</a>."},"page":"1–5","year":"2008"},{"year":"2008","page":"3909–3912","citation":{"ama":"Schreier PJ. The degree of impropriety (noncircularity) of complex random vectors. In: <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i> ; 2008:3909–3912. doi:<a href=\"https://doi.org/10.1109/ICASSP.2008.4518508\">10.1109/ICASSP.2008.4518508</a>","ieee":"P. J. Schreier, “The degree of impropriety (noncircularity) of complex random vectors,” in <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i>, 2008, pp. 3909–3912, doi: <a href=\"https://doi.org/10.1109/ICASSP.2008.4518508\">10.1109/ICASSP.2008.4518508</a>.","chicago":"Schreier, Peter J. “The Degree of Impropriety (Noncircularity) of Complex Random Vectors.” In <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i>, 3909–3912, 2008. <a href=\"https://doi.org/10.1109/ICASSP.2008.4518508\">https://doi.org/10.1109/ICASSP.2008.4518508</a>.","mla":"Schreier, Peter J. “The Degree of Impropriety (Noncircularity) of Complex Random Vectors.” <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i>, 2008, pp. 3909–3912, doi:<a href=\"https://doi.org/10.1109/ICASSP.2008.4518508\">10.1109/ICASSP.2008.4518508</a>.","short":"P.J. Schreier, in: Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process., 2008, pp. 3909–3912.","bibtex":"@inproceedings{Schreier_2008, title={The degree of impropriety (noncircularity) of complex random vectors}, DOI={<a href=\"https://doi.org/10.1109/ICASSP.2008.4518508\">10.1109/ICASSP.2008.4518508</a>}, booktitle={Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.}, author={Schreier, Peter J.}, year={2008}, pages={3909–3912} }","apa":"Schreier, P. J. (2008). The degree of impropriety (noncircularity) of complex random vectors. <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i>, 3909–3912. <a href=\"https://doi.org/10.1109/ICASSP.2008.4518508\">https://doi.org/10.1109/ICASSP.2008.4518508</a>"},"title":"The degree of impropriety (noncircularity) of complex random vectors","doi":"10.1109/ICASSP.2008.4518508","date_updated":"2023-01-30T11:56:03Z","date_created":"2023-01-30T11:52:04Z","author":[{"last_name":"Schreier","full_name":"Schreier, Peter J.","first_name":"Peter J."}],"abstract":[{"lang":"eng","text":"A complex random vector is called improper (noncircular) if it is correlated with its complex conjugate. We consider measures for the degree of impropriety that are invariant under linear transformation. These measures are functions of the canonical correlations between the vector and its complex conjugate, which have been termed the circularity coefficients. However, we show that these circularity coefficients do not tell the whole story: Two random vectors with identical covariance matrix and identical circularity coefficients can still behave differently in second-order estimation and detection."}],"status":"public","publication":"Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.","type":"conference","_id":"40871","department":[{"_id":"263"}],"user_id":"43497"}]