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L.}, year={2015} }","mla":"Ramírez, D., et al. “An Asymptotic LMPI Test for Cyclostationarity Detection with Application to Cognitive Radio (Invited Paper).” <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i>, 2015.","short":"D. Ramírez, P.J. Schreier, J. Vía, I. Santamaría, L.L. Scharf, in: Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process., Brisbane, Australia, 2015.","apa":"Ramírez, D., Schreier, P. J., Vía, J., Santamaría, I., &#38; Scharf, L. L. (2015). An asymptotic LMPI test for cyclostationarity detection with application to Cognitive Radio (invited paper). <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i>","ama":"Ramírez D, Schreier PJ, Vía J, Santamaría I, Scharf LL. An asymptotic LMPI test for cyclostationarity detection with application to Cognitive Radio (invited paper). In: <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i> ; 2015.","chicago":"Ramírez, D., P. J. Schreier, J. Vía, I. Santamaría, and L. L. Scharf. “An Asymptotic LMPI Test for Cyclostationarity Detection with Application to Cognitive Radio (Invited Paper).” In <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i> Brisbane, Australia, 2015.","ieee":"D. Ramírez, P. J. Schreier, J. Vía, I. Santamaría, and L. L. Scharf, “An asymptotic LMPI test for cyclostationarity detection with application to Cognitive Radio (invited paper),” 2015."},"place":"Brisbane, Australia","year":"2015","date_created":"2023-01-30T11:51:46Z","author":[{"first_name":"D.","last_name":"Ramírez","full_name":"Ramírez, D."},{"first_name":"P. J.","full_name":"Schreier, P. J.","last_name":"Schreier"},{"first_name":"J.","full_name":"Vía, J.","last_name":"Vía"},{"first_name":"I.","full_name":"Santamaría, I.","last_name":"Santamaría"},{"full_name":"Scharf, L. L.","last_name":"Scharf","first_name":"L. L."}],"date_updated":"2023-01-30T12:00:09Z","title":"An asymptotic LMPI test for cyclostationarity detection with application to Cognitive Radio (invited paper)","type":"conference","publication":"Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.","status":"public","abstract":[{"text":"We propose a new detector of primary users in cognitive radio networks. The main novelty of the proposed detector in comparison to most known detectors is that it is based on sound statistical principles for detecting cyclostationary signals. In particular, the proposed detector is (asymptotically) the locally most powerful invariant test, i.e. the best invariant detector for low signal-to-noise ratios. The derivation is based on two main ideas: the relationship between a scalar-valued cyclostationary signal and a vector-valued wide-sense stationary signal, and Wijsman’s theorem. Moreover, using the spectral representation for the cyclostationary time series, the detector has an insightful interpretation, and implementation, as the broadband coherence between frequencies that are separated by multiples of the cycle frequency. Finally, simulations confirm that the proposed detector performs better than previous approaches.","lang":"eng"}],"user_id":"43497","department":[{"_id":"263"}],"_id":"40747"},{"publication":"Proc. IEEE Int. Conf. Digital Signal Process.","type":"conference","abstract":[{"lang":"eng","text":"In this paper we present an experimental study on the performance of spatial Interference Alignment (IA) in broadband indoor wireless local area network scenarios that use Orthogonal Frequency Division Multiplexing (OFDM) according to the IEEE 802.11a physical-layer specifications. Experiments have been carried out using a wireless network testbed made up of six nodes equipped with Multiple-Input Multiple-Output (MIMO) radio interfaces. This setup allows the implementation of a 3-user MIMO interference channel. We have implemented different IA decoding schemes that operate either before or after the Fast Fourier Transform block. IA has been experimentally evaluated comparing both approaches to analyze its performance in synchronous and asynchronous transmissions. Our results indicate that spatial IA performs satisfactorily in practical broadband indoor scenarios in which wireless channels often exhibit relatively large coherence times."}],"status":"public","_id":"40745","department":[{"_id":"263"}],"user_id":"43497","year":"2015","place":"Singapore","citation":{"mla":"Fanjul, Jacobo, et al. “An Experimental Evaluation of Broadband Spatial IA for Uncoordinated MIMO-OFDM Systems.” <i>Proc. IEEE Int. Conf. Digital Signal Process.</i>, 2015.","bibtex":"@inproceedings{Fanjul_Lameiro_Santamaría_García-Naya_Castedo_2015, place={Singapore}, title={An Experimental Evaluation of Broadband Spatial IA for uncoordinated MIMO-OFDM Systems}, booktitle={Proc. IEEE Int. Conf. Digital Signal Process.}, author={Fanjul, Jacobo and Lameiro, Christian and Santamaría, Ignacio and García-Naya, Jose A. and Castedo, Luis}, year={2015} }","short":"J. Fanjul, C. Lameiro, I. Santamaría, J.A. García-Naya, L. Castedo, in: Proc. IEEE Int. Conf. Digital Signal Process., Singapore, 2015.","apa":"Fanjul, J., Lameiro, C., Santamaría, I., García-Naya, J. A., &#38; Castedo, L. (2015). An Experimental Evaluation of Broadband Spatial IA for uncoordinated MIMO-OFDM Systems. <i>Proc. IEEE Int. Conf. Digital Signal Process.</i>","ama":"Fanjul J, Lameiro C, Santamaría I, García-Naya JA, Castedo L. An Experimental Evaluation of Broadband Spatial IA for uncoordinated MIMO-OFDM Systems. In: <i>Proc. IEEE Int. Conf. Digital Signal Process.</i> ; 2015.","chicago":"Fanjul, Jacobo, Christian Lameiro, Ignacio Santamaría, Jose A. García-Naya, and Luis Castedo. “An Experimental Evaluation of Broadband Spatial IA for Uncoordinated MIMO-OFDM Systems.” In <i>Proc. IEEE Int. Conf. Digital Signal Process.</i> Singapore, 2015.","ieee":"J. Fanjul, C. Lameiro, I. Santamaría, J. A. García-Naya, and L. Castedo, “An Experimental Evaluation of Broadband Spatial IA for uncoordinated MIMO-OFDM Systems,” 2015."},"date_updated":"2023-01-30T12:00:11Z","date_created":"2023-01-30T11:51:46Z","author":[{"first_name":"Jacobo","last_name":"Fanjul","full_name":"Fanjul, Jacobo"},{"first_name":"Christian","last_name":"Lameiro","full_name":"Lameiro, Christian"},{"first_name":"Ignacio","last_name":"Santamaría","full_name":"Santamaría, Ignacio"},{"first_name":"Jose A.","last_name":"García-Naya","full_name":"García-Naya, Jose A."},{"full_name":"Castedo, Luis","last_name":"Castedo","first_name":"Luis"}],"title":"An Experimental Evaluation of Broadband Spatial IA for uncoordinated MIMO-OFDM Systems"},{"department":[{"_id":"263"}],"user_id":"43497","_id":"40751","publication":"Proc.\\ IEEE Work. Pos.\\ Nav. & Com.","type":"conference","status":"public","date_created":"2023-01-30T11:51:47Z","author":[{"last_name":"Theiler","full_name":"Theiler, Sebastian","first_name":"Sebastian"},{"full_name":"Stein, Manuel","last_name":"Stein","first_name":"Manuel"},{"first_name":"Josef A.","full_name":"Nossek, Josef A.","last_name":"Nossek"}],"date_updated":"2023-01-30T12:00:26Z","title":"Ranging with high accuracy and without ambiguities","citation":{"apa":"Theiler, S., Stein, M., &#38; Nossek, J. A. (2015). Ranging with high accuracy and without ambiguities. <i>Proc.\\ IEEE Work. Pos.\\ Nav. &#38; Com.</i>","mla":"Theiler, Sebastian, et al. “Ranging with High Accuracy and without Ambiguities.” <i>Proc.\\ IEEE Work. Pos.\\ Nav. &#38; Com.</i>, 2015.","short":"S. Theiler, M. Stein, J.A. Nossek, in: Proc.\\ IEEE Work. Pos.\\ Nav. &#38; Com., Dresden, Germany, 2015.","bibtex":"@inproceedings{Theiler_Stein_Nossek_2015, place={Dresden, Germany}, title={Ranging with high accuracy and without ambiguities}, booktitle={Proc.\\ IEEE Work. Pos.\\ Nav. &#38; Com.}, author={Theiler, Sebastian and Stein, Manuel and Nossek, Josef A.}, year={2015} }","ama":"Theiler S, Stein M, Nossek JA. Ranging with high accuracy and without ambiguities. In: <i>Proc.\\ IEEE Work. Pos.\\ Nav. &#38; Com.</i> ; 2015.","ieee":"S. Theiler, M. Stein, and J. A. Nossek, “Ranging with high accuracy and without ambiguities,” 2015.","chicago":"Theiler, Sebastian, Manuel Stein, and Josef A. Nossek. “Ranging with High Accuracy and without Ambiguities.” In <i>Proc.\\ IEEE Work. Pos.\\ Nav. &#38; Com.</i> Dresden, Germany, 2015."},"place":"Dresden, Germany","year":"2015"},{"user_id":"43497","department":[{"_id":"263"}],"_id":"40752","type":"journal_article","publication":"IEEE Wireless Comm. Lett.","status":"public","date_created":"2023-01-30T11:51:47Z","author":[{"first_name":"Christian","last_name":"Lameiro","full_name":"Lameiro, Christian"},{"first_name":"Ignacio","full_name":"Santamaría, Ignacio","last_name":"Santamaría"},{"full_name":"Schreier, Peter J.","last_name":"Schreier","first_name":"Peter J."}],"volume":4,"date_updated":"2023-01-30T12:00:29Z","doi":"10.1109/LWC.2014.2360179","title":"Benefits of Improper Signaling for Underlay Cognitive Radio","citation":{"ieee":"C. Lameiro, I. Santamaría, and P. J. Schreier, “Benefits of Improper Signaling for Underlay Cognitive Radio,” <i>IEEE Wireless Comm. Lett.</i>, vol. 4, pp. 22–25, 2015, doi: <a href=\"https://doi.org/10.1109/LWC.2014.2360179\">10.1109/LWC.2014.2360179</a>.","chicago":"Lameiro, Christian, Ignacio Santamaría, and Peter J. Schreier. “Benefits of Improper Signaling for Underlay Cognitive Radio.” <i>IEEE Wireless Comm. Lett.</i> 4 (2015): 22–25. <a href=\"https://doi.org/10.1109/LWC.2014.2360179\">https://doi.org/10.1109/LWC.2014.2360179</a>.","ama":"Lameiro C, Santamaría I, Schreier PJ. Benefits of Improper Signaling for Underlay Cognitive Radio. <i>IEEE Wireless Comm Lett</i>. 2015;4:22–25. doi:<a href=\"https://doi.org/10.1109/LWC.2014.2360179\">10.1109/LWC.2014.2360179</a>","apa":"Lameiro, C., Santamaría, I., &#38; Schreier, P. J. (2015). Benefits of Improper Signaling for Underlay Cognitive Radio. <i>IEEE Wireless Comm. Lett.</i>, <i>4</i>, 22–25. <a href=\"https://doi.org/10.1109/LWC.2014.2360179\">https://doi.org/10.1109/LWC.2014.2360179</a>","short":"C. Lameiro, I. Santamaría, P.J. Schreier, IEEE Wireless Comm. Lett. 4 (2015) 22–25.","bibtex":"@article{Lameiro_Santamaría_Schreier_2015, title={Benefits of Improper Signaling for Underlay Cognitive Radio}, volume={4}, DOI={<a href=\"https://doi.org/10.1109/LWC.2014.2360179\">10.1109/LWC.2014.2360179</a>}, journal={IEEE Wireless Comm. Lett.}, author={Lameiro, Christian and Santamaría, Ignacio and Schreier, Peter J.}, year={2015}, pages={22–25} }","mla":"Lameiro, Christian, et al. “Benefits of Improper Signaling for Underlay Cognitive Radio.” <i>IEEE Wireless Comm. Lett.</i>, vol. 4, 2015, pp. 22–25, doi:<a href=\"https://doi.org/10.1109/LWC.2014.2360179\">10.1109/LWC.2014.2360179</a>."},"page":"22–25","intvolume":"         4","year":"2015"},{"type":"conference","publication":"Proc.\\ IEEE Int.\\ Conf.\\ Comm.","status":"public","abstract":[{"lang":"eng","text":"In this paper, the impact of improper Gaussian signaling is studied for an underlay cognitive radio (CR) scenario comprised of a primary user (PU), which has a rate constraint, and a secondary user (SU), both single-antenna. We first derive expressions for the achievable rate of the SU when it transmits proper and maximally improper Gaussian signals (assuming that the SU is solely limited by the CR constraint). These expressions depend on the channel gains to and from the SU through a single variable. Thereby, we observe that improper signaling is beneficial whenever the SU rate is below a threshold, which depends on the signal-to-noise ratio (SNR) and rate requirement of the PU. Furthermore, we provide bounds on the achievable gain that also depend only on the PU parameters. Then, the achievable rate is studied from a statistical viewpoint by deriving its cumulative distribution function considering a constant received SNR at the PU. In addition, we specialize this expression for the Z interference channel, for which the expected achievable rate is also derived. Numerical examples illustrate our claims and show that the SU may significantly benefit from using improper signaling."}],"user_id":"43497","department":[{"_id":"263"}],"_id":"40746","citation":{"apa":"Lameiro, C., Santamaría, I., &#38; Schreier, P. J. (2015). Analysis of maximally improper signalling schemes for underlay cognitive radio. <i>Proc.\\ IEEE Int.\\ Conf.\\ Comm.</i>","mla":"Lameiro, Christian, et al. “Analysis of Maximally Improper Signalling Schemes for Underlay Cognitive Radio.” <i>Proc.\\ IEEE Int.\\ Conf.\\ Comm.</i>, 2015.","short":"C. Lameiro, I. Santamaría, P.J. Schreier, in: Proc.\\ IEEE Int.\\ Conf.\\ Comm., London, UK, 2015.","bibtex":"@inproceedings{Lameiro_Santamaría_Schreier_2015, place={London, UK}, title={Analysis of maximally improper signalling schemes for underlay cognitive radio}, booktitle={Proc.\\ IEEE Int.\\ Conf.\\ Comm.}, author={Lameiro, Christian and Santamaría, Ignacio and Schreier, Peter J.}, year={2015} }","chicago":"Lameiro, Christian, Ignacio Santamaría, and Peter J. Schreier. “Analysis of Maximally Improper Signalling Schemes for Underlay Cognitive Radio.” In <i>Proc.\\ IEEE Int.\\ Conf.\\ Comm.</i> London, UK, 2015.","ieee":"C. Lameiro, I. Santamaría, and P. J. Schreier, “Analysis of maximally improper signalling schemes for underlay cognitive radio,” 2015.","ama":"Lameiro C, Santamaría I, Schreier PJ. Analysis of maximally improper signalling schemes for underlay cognitive radio. In: <i>Proc.\\ IEEE Int.\\ Conf.\\ Comm.</i> ; 2015."},"place":"London, UK","year":"2015","date_created":"2023-01-30T11:51:46Z","author":[{"first_name":"Christian","full_name":"Lameiro, Christian","last_name":"Lameiro"},{"last_name":"Santamaría","full_name":"Santamaría, Ignacio","first_name":"Ignacio"},{"first_name":"Peter J.","full_name":"Schreier, Peter J.","last_name":"Schreier"}],"date_updated":"2023-01-30T12:01:39Z","title":"Analysis of maximally improper signalling schemes for underlay cognitive radio"},{"date_created":"2023-01-30T11:51:46Z","author":[{"first_name":"Manuel","last_name":"Stein","full_name":"Stein, Manuel"},{"first_name":"Theiler","last_name":"Sebastian","full_name":"Sebastian, Theiler"},{"last_name":"Nossek","full_name":"Nossek, Josef A.","first_name":"Josef A."}],"volume":4,"date_updated":"2023-01-30T12:01:37Z","doi":"10.1109/LWC.2015.2388675","title":"Overdemodulation for high-performance receivers with low-resolution ADC","issue":"2","citation":{"apa":"Stein, M., Sebastian, T., &#38; Nossek, J. A. (2015). Overdemodulation for high-performance receivers with low-resolution ADC. <i>IEEE Wireless Comm. Lett.</i>, <i>4</i>(2), 169–172. <a href=\"https://doi.org/10.1109/LWC.2015.2388675\">https://doi.org/10.1109/LWC.2015.2388675</a>","mla":"Stein, Manuel, et al. “Overdemodulation for High-Performance Receivers with Low-Resolution ADC.” <i>IEEE Wireless Comm. Lett.</i>, vol. 4, no. 2, 2015, pp. 169–172, doi:<a href=\"https://doi.org/10.1109/LWC.2015.2388675\">10.1109/LWC.2015.2388675</a>.","bibtex":"@article{Stein_Sebastian_Nossek_2015, title={Overdemodulation for high-performance receivers with low-resolution ADC}, volume={4}, DOI={<a href=\"https://doi.org/10.1109/LWC.2015.2388675\">10.1109/LWC.2015.2388675</a>}, number={2}, journal={IEEE Wireless Comm. Lett.}, author={Stein, Manuel and Sebastian, Theiler and Nossek, Josef A.}, year={2015}, pages={169–172} }","short":"M. Stein, T. Sebastian, J.A. Nossek, IEEE Wireless Comm. Lett. 4 (2015) 169–172.","ama":"Stein M, Sebastian T, Nossek JA. Overdemodulation for high-performance receivers with low-resolution ADC. <i>IEEE Wireless Comm Lett</i>. 2015;4(2):169–172. doi:<a href=\"https://doi.org/10.1109/LWC.2015.2388675\">10.1109/LWC.2015.2388675</a>","chicago":"Stein, Manuel, Theiler Sebastian, and Josef A. Nossek. “Overdemodulation for High-Performance Receivers with Low-Resolution ADC.” <i>IEEE Wireless Comm. Lett.</i> 4, no. 2 (2015): 169–172. <a href=\"https://doi.org/10.1109/LWC.2015.2388675\">https://doi.org/10.1109/LWC.2015.2388675</a>.","ieee":"M. Stein, T. Sebastian, and J. A. Nossek, “Overdemodulation for high-performance receivers with low-resolution ADC,” <i>IEEE Wireless Comm. Lett.</i>, vol. 4, no. 2, pp. 169–172, 2015, doi: <a href=\"https://doi.org/10.1109/LWC.2015.2388675\">10.1109/LWC.2015.2388675</a>."},"page":"169–172","intvolume":"         4","year":"2015","user_id":"43497","department":[{"_id":"263"}],"_id":"40749","type":"journal_article","publication":"IEEE Wireless Comm. Lett.","status":"public"},{"status":"public","type":"conference","publication":"Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.","_id":"40750","user_id":"43497","department":[{"_id":"263"}],"place":"Brisbane, Australia","year":"2015","citation":{"chicago":"Song, Y., P. J. Schreier, and N. Roseveare. “Determining the Number of Correlated Signals between Two Data Sets Using PCA-CCA When Sample Support Is Extremely Small.” In <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i> Brisbane, Australia, 2015.","ieee":"Y. Song, P. J. Schreier, and N. Roseveare, “Determining the number of correlated signals between two data sets using PCA-CCA when sample support is extremely small,” 2015.","ama":"Song Y, Schreier PJ, Roseveare N. Determining the number of correlated signals between two data sets using PCA-CCA when sample support is extremely small. In: <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i> ; 2015.","mla":"Song, Y., et al. “Determining the Number of Correlated Signals between Two Data Sets Using PCA-CCA When Sample Support Is Extremely Small.” <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i>, 2015.","short":"Y. Song, P.J. Schreier, N. Roseveare, in: Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process., Brisbane, Australia, 2015.","bibtex":"@inproceedings{Song_Schreier_Roseveare_2015, place={Brisbane, Australia}, title={Determining the number of correlated signals between two data sets using PCA-CCA when sample support is extremely small}, booktitle={Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.}, author={Song, Y. and Schreier, P. J. and Roseveare, N.}, year={2015} }","apa":"Song, Y., Schreier, P. J., &#38; Roseveare, N. (2015). Determining the number of correlated signals between two data sets using PCA-CCA when sample support is extremely small. <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i>"},"title":"Determining the number of correlated signals between two data sets using PCA-CCA when sample support is extremely small","date_updated":"2023-01-30T12:01:35Z","author":[{"first_name":"Y.","last_name":"Song","full_name":"Song, Y."},{"full_name":"Schreier, P. J.","last_name":"Schreier","first_name":"P. J."},{"last_name":"Roseveare","full_name":"Roseveare, N.","first_name":"N."}],"date_created":"2023-01-30T11:51:46Z"},{"place":"Brisbane, Australia","year":"2015","citation":{"ieee":"N. Roseveare and P. J. Schreier, “Model-order selection for analyzing correlation between two data sets using CCA with PCA preprocessing,” 2015.","chicago":"Roseveare, N., and P. J. Schreier. “Model-Order Selection for Analyzing Correlation between Two Data Sets Using CCA with PCA Preprocessing.” In <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i> Brisbane, Australia, 2015.","ama":"Roseveare N, Schreier PJ. Model-order selection for analyzing correlation between two data sets using CCA with PCA preprocessing. In: <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i> ; 2015.","mla":"Roseveare, N., and P. J. Schreier. “Model-Order Selection for Analyzing Correlation between Two Data Sets Using CCA with PCA Preprocessing.” <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i>, 2015.","short":"N. Roseveare, P.J. Schreier, in: Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process., Brisbane, Australia, 2015.","bibtex":"@inproceedings{Roseveare_Schreier_2015, place={Brisbane, Australia}, title={Model-order selection for analyzing correlation between two data sets using CCA with PCA preprocessing}, booktitle={Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.}, author={Roseveare, N. and Schreier, P. J.}, year={2015} }","apa":"Roseveare, N., &#38; Schreier, P. J. (2015). Model-order selection for analyzing correlation between two data sets using CCA with PCA preprocessing. <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i>"},"date_updated":"2023-01-30T12:01:33Z","date_created":"2023-01-30T11:51:46Z","author":[{"last_name":"Roseveare","full_name":"Roseveare, N.","first_name":"N."},{"full_name":"Schreier, P. J.","last_name":"Schreier","first_name":"P. J."}],"title":"Model-order selection for analyzing correlation between two data sets using CCA with PCA preprocessing","type":"conference","publication":"Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.","status":"public","_id":"40748","user_id":"43497","department":[{"_id":"263"}]},{"author":[{"first_name":"D.","full_name":"Ramírez, D.","last_name":"Ramírez"},{"first_name":"P. J.","full_name":"Schreier, P. J.","last_name":"Schreier"},{"first_name":"J.","last_name":"Via","full_name":"Via, J."},{"first_name":"I.","last_name":"Santamaria","full_name":"Santamaria, I."},{"first_name":"L. L.","last_name":"Scharf","full_name":"Scharf, L. L."}],"date_created":"2023-01-30T11:51:46Z","volume":63,"date_updated":"2023-01-30T12:01:30Z","title":"Detection of multivariate cyclostationarity","issue":"20","citation":{"chicago":"Ramírez, D., P. J. Schreier, J. Via, I. Santamaria, and L. L. Scharf. “Detection of Multivariate Cyclostationarity.” <i>IEEE Trans. Signal Processing</i> 63, no. 20 (2015): 5395–5408.","ieee":"D. Ramírez, P. J. Schreier, J. Via, I. Santamaria, and L. L. Scharf, “Detection of multivariate cyclostationarity,” <i>IEEE Trans. Signal Processing</i>, vol. 63, no. 20, pp. 5395–5408, 2015.","ama":"Ramírez D, Schreier PJ, Via J, Santamaria I, Scharf LL. Detection of multivariate cyclostationarity. <i>IEEE Trans Signal Processing</i>. 2015;63(20):5395–5408.","mla":"Ramírez, D., et al. “Detection of Multivariate Cyclostationarity.” <i>IEEE Trans. Signal Processing</i>, vol. 63, no. 20, 2015, pp. 5395–5408.","short":"D. Ramírez, P.J. Schreier, J. Via, I. Santamaria, L.L. Scharf, IEEE Trans. Signal Processing 63 (2015) 5395–5408.","bibtex":"@article{Ramírez_Schreier_Via_Santamaria_Scharf_2015, title={Detection of multivariate cyclostationarity}, volume={63}, number={20}, journal={IEEE Trans. Signal Processing}, author={Ramírez, D. and Schreier, P. J. and Via, J. and Santamaria, I. and Scharf, L. L.}, year={2015}, pages={5395–5408} }","apa":"Ramírez, D., Schreier, P. J., Via, J., Santamaria, I., &#38; Scharf, L. L. (2015). Detection of multivariate cyclostationarity. <i>IEEE Trans. Signal Processing</i>, <i>63</i>(20), 5395–5408."},"page":"5395–5408","intvolume":"        63","year":"2015","user_id":"43497","department":[{"_id":"263"}],"_id":"40744","type":"journal_article","publication":"IEEE Trans. Signal Processing","status":"public"},{"language":[{"iso":"eng"}],"keyword":["approximate computing","survey"],"user_id":"15278","department":[{"_id":"27"},{"_id":"518"},{"_id":"263"},{"_id":"78"}],"_id":"1768","status":"public","type":"journal_article","publication":"Informatik Spektrum","doi":"10.1007/s00287-015-0911-z","title":"Aktuelles Schlagwort: Approximate Computing","author":[{"last_name":"Plessl","orcid":"0000-0001-5728-9982","id":"16153","full_name":"Plessl, Christian","first_name":"Christian"},{"id":"398","full_name":"Platzner, Marco","last_name":"Platzner","first_name":"Marco"},{"first_name":"Peter J.","last_name":"Schreier","full_name":"Schreier, Peter J."}],"date_created":"2018-03-23T13:58:34Z","publisher":"Springer","date_updated":"2023-09-26T13:30:22Z","citation":{"bibtex":"@article{Plessl_Platzner_Schreier_2015, title={Aktuelles Schlagwort: Approximate Computing}, DOI={<a href=\"https://doi.org/10.1007/s00287-015-0911-z\">10.1007/s00287-015-0911-z</a>}, number={5}, journal={Informatik Spektrum}, publisher={Springer}, author={Plessl, Christian and Platzner, Marco and Schreier, Peter J.}, year={2015}, pages={396–399} }","short":"C. Plessl, M. Platzner, P.J. Schreier, Informatik Spektrum (2015) 396–399.","mla":"Plessl, Christian, et al. “Aktuelles Schlagwort: Approximate Computing.” <i>Informatik Spektrum</i>, no. 5, Springer, 2015, pp. 396–99, doi:<a href=\"https://doi.org/10.1007/s00287-015-0911-z\">10.1007/s00287-015-0911-z</a>.","apa":"Plessl, C., Platzner, M., &#38; Schreier, P. J. (2015). Aktuelles Schlagwort: Approximate Computing. <i>Informatik Spektrum</i>, <i>5</i>, 396–399. <a href=\"https://doi.org/10.1007/s00287-015-0911-z\">https://doi.org/10.1007/s00287-015-0911-z</a>","ama":"Plessl C, Platzner M, Schreier PJ. Aktuelles Schlagwort: Approximate Computing. <i>Informatik Spektrum</i>. 2015;(5):396-399. doi:<a href=\"https://doi.org/10.1007/s00287-015-0911-z\">10.1007/s00287-015-0911-z</a>","ieee":"C. Plessl, M. Platzner, and P. J. Schreier, “Aktuelles Schlagwort: Approximate Computing,” <i>Informatik Spektrum</i>, no. 5, pp. 396–399, 2015, doi: <a href=\"https://doi.org/10.1007/s00287-015-0911-z\">10.1007/s00287-015-0911-z</a>.","chicago":"Plessl, Christian, Marco Platzner, and Peter J. Schreier. “Aktuelles Schlagwort: Approximate Computing.” <i>Informatik Spektrum</i>, no. 5 (2015): 396–99. <a href=\"https://doi.org/10.1007/s00287-015-0911-z\">https://doi.org/10.1007/s00287-015-0911-z</a>."},"page":"396-399","year":"2015","issue":"5","quality_controlled":"1"}]
