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Pacific Grove, CA, USA, 2016."},"place":"Pacific Grove, CA, USA","year":"2016","author":[{"first_name":"Tanuj","id":"43497","full_name":"Hasija, Tanuj","last_name":"Hasija"},{"last_name":"Song","full_name":"Song, Yang","first_name":"Yang"},{"last_name":"Schreier","full_name":"Schreier, Peter J.","first_name":"Peter J."},{"first_name":"David","last_name":"Ramírez","full_name":"Ramírez, David"}],"date_created":"2023-01-30T11:51:42Z","date_updated":"2023-01-30T12:07:48Z","title":"Bootstrap-based detection of the number of signals correlated across multiple data sets","type":"conference","publication":"Proc.\\ Asilomar Conf.\\ Signals\\ Syst. Computers","status":"public","user_id":"43497","department":[{"_id":"263"}],"_id":"40718","language":[{"iso":"eng"}]},{"_id":"40721","user_id":"43497","department":[{"_id":"263"}],"language":[{"iso":"eng"}],"type":"conference","publication":"Proc.\\ Eur.\\ Signal Process.\\ Conf.","status":"public","date_updated":"2023-01-30T12:07:58Z","date_created":"2023-01-30T11:51:42Z","author":[{"last_name":"Song","full_name":"Song, Yang","first_name":"Yang"},{"first_name":"Tanuj","last_name":"Hasija","full_name":"Hasija, Tanuj","id":"43497"},{"last_name":"Schreier","full_name":"Schreier, Peter J.","first_name":"Peter J."},{"first_name":"David","last_name":"Ramírez","full_name":"Ramírez, David"}],"title":"Determining the number of signals correlated across multiple data sets for small sample support","year":"2016","place":"Budapest, Hungary","citation":{"ama":"Song Y, Hasija T, Schreier PJ, Ramírez D. Determining the number of signals correlated across multiple data sets for small sample support. In: <i>Proc.\\ Eur.\\ Signal Process.\\ Conf.</i> ; 2016.","chicago":"Song, Yang, Tanuj Hasija, Peter J. Schreier, and David Ramírez. “Determining the Number of Signals Correlated across Multiple Data Sets for Small Sample Support.” In <i>Proc.\\ Eur.\\ Signal Process.\\ Conf.</i> Budapest, Hungary, 2016.","ieee":"Y. Song, T. Hasija, P. J. Schreier, and D. Ramírez, “Determining the number of signals correlated across multiple data sets for small sample support,” 2016.","apa":"Song, Y., Hasija, T., Schreier, P. J., &#38; Ramírez, D. (2016). Determining the number of signals correlated across multiple data sets for small sample support. <i>Proc.\\ Eur.\\ Signal Process.\\ Conf.</i>","mla":"Song, Yang, et al. “Determining the Number of Signals Correlated across Multiple Data Sets for Small Sample Support.” <i>Proc.\\ Eur.\\ Signal Process.\\ Conf.</i>, 2016.","short":"Y. Song, T. Hasija, P.J. Schreier, D. Ramírez, in: Proc.\\ Eur.\\ Signal Process.\\ Conf., Budapest, Hungary, 2016.","bibtex":"@inproceedings{Song_Hasija_Schreier_Ramírez_2016, place={Budapest, Hungary}, title={Determining the number of signals correlated across multiple data sets for small sample support}, booktitle={Proc.\\ Eur.\\ Signal Process.\\ Conf.}, author={Song, Yang and Hasija, Tanuj and Schreier, Peter J. and Ramírez, David}, year={2016} }"}},{"type":"conference","publication":"Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.","abstract":[{"lang":"eng","text":"One approach to spectrum sensing for cognitive radio is the detection of cyclostationarity. We extend an existing multi-antenna detector for cyclostationarity proposed by Ramírez et al. [1], which makes no assumptions about the noise beyond being (temporally) wide-sense stationary. In special cases, the noise could be uncorrelated among antennas, or it could be temporally white. The performance of a general detector can be improved by making use of a priori structural information. We do not, however, require knowledge of the exact values of the temporal or spatial noise covariances. We develop an asymptotic generalized likelihood ratio test and evaluate the performance by simulations."}],"status":"public","_id":"40728","user_id":"43497","department":[{"_id":"263"}],"year":"2016","place":"Shanghai, China","citation":{"short":"A. Pries, D. Ramírez, P.J. Schreier, in: Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process., Shanghai, China, 2016, pp. 4249–4253.","mla":"Pries, Aaron, et al. “Detection of Cyclostationarity in the Presence of Temporal or Spatial Structure with Applications to Cognitive Radio.” <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i>, 2016, pp. 4249–4253, doi:<a href=\"https://doi.org/10.1109/ICASSP.2016.7472478\">10.1109/ICASSP.2016.7472478</a>.","bibtex":"@inproceedings{Pries_Ramírez_Schreier_2016, place={Shanghai, China}, title={Detection of cyclostationarity in the presence of temporal or spatial structure with applications to cognitive radio}, DOI={<a href=\"https://doi.org/10.1109/ICASSP.2016.7472478\">10.1109/ICASSP.2016.7472478</a>}, booktitle={Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.}, author={Pries, Aaron and Ramírez, David and Schreier, Peter J.}, year={2016}, pages={4249–4253} }","apa":"Pries, A., Ramírez, D., &#38; Schreier, P. J. (2016). Detection of cyclostationarity in the presence of temporal or spatial structure with applications to cognitive radio. <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i>, 4249–4253. <a href=\"https://doi.org/10.1109/ICASSP.2016.7472478\">https://doi.org/10.1109/ICASSP.2016.7472478</a>","ama":"Pries A, Ramírez D, Schreier PJ. Detection of cyclostationarity in the presence of temporal or spatial structure with applications to cognitive radio. In: <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i> ; 2016:4249–4253. doi:<a href=\"https://doi.org/10.1109/ICASSP.2016.7472478\">10.1109/ICASSP.2016.7472478</a>","ieee":"A. Pries, D. Ramírez, and P. J. Schreier, “Detection of cyclostationarity in the presence of temporal or spatial structure with applications to cognitive radio,” in <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i>, 2016, pp. 4249–4253, doi: <a href=\"https://doi.org/10.1109/ICASSP.2016.7472478\">10.1109/ICASSP.2016.7472478</a>.","chicago":"Pries, Aaron, David Ramírez, and Peter J. Schreier. “Detection of Cyclostationarity in the Presence of Temporal or Spatial Structure with Applications to Cognitive Radio.” In <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i>, 4249–4253. Shanghai, China, 2016. <a href=\"https://doi.org/10.1109/ICASSP.2016.7472478\">https://doi.org/10.1109/ICASSP.2016.7472478</a>."},"page":"4249–4253","date_updated":"2023-01-30T12:01:44Z","author":[{"last_name":"Pries","full_name":"Pries, Aaron","first_name":"Aaron"},{"full_name":"Ramírez, David","last_name":"Ramírez","first_name":"David"},{"last_name":"Schreier","full_name":"Schreier, Peter J.","first_name":"Peter J."}],"date_created":"2023-01-30T11:51:43Z","title":"Detection of cyclostationarity in the presence of temporal or spatial structure with applications to cognitive radio","doi":"10.1109/ICASSP.2016.7472478"},{"citation":{"ama":"Marrinan T, Beveridge JR, Draper B, Kirby M, Peterson C. Flag-based detection of weak gas signatures in long-wave infrared hyperspectral image sequences. In: <i>SPIE Defense, Security, and Sensing</i>. ; 2016. doi:<a href=\"https://doi.org/10.1117/12.2224117\">10.1117/12.2224117</a>","chicago":"Marrinan, Tim, J. Ross Beveridge, Bruce Draper, Michael Kirby, and Chris Peterson. “Flag-Based Detection of Weak Gas Signatures in Long-Wave Infrared Hyperspectral Image Sequences.” In <i>SPIE Defense, Security, and Sensing</i>, 2016. <a href=\"https://doi.org/10.1117/12.2224117\">https://doi.org/10.1117/12.2224117</a>.","ieee":"T. Marrinan, J. R. Beveridge, B. Draper, M. Kirby, and C. Peterson, “Flag-based detection of weak gas signatures in long-wave infrared hyperspectral image sequences.,” 2016, doi: <a href=\"https://doi.org/10.1117/12.2224117\">10.1117/12.2224117</a>.","short":"T. Marrinan, J.R. Beveridge, B. Draper, M. Kirby, C. Peterson, in: SPIE Defense, Security, and Sensing, 2016.","mla":"Marrinan, Tim, et al. “Flag-Based Detection of Weak Gas Signatures in Long-Wave Infrared Hyperspectral Image Sequences.” <i>SPIE Defense, Security, and Sensing</i>, 2016, doi:<a href=\"https://doi.org/10.1117/12.2224117\">10.1117/12.2224117</a>.","bibtex":"@inproceedings{Marrinan_Beveridge_Draper_Kirby_Peterson_2016, title={Flag-based detection of weak gas signatures in long-wave infrared hyperspectral image sequences.}, DOI={<a href=\"https://doi.org/10.1117/12.2224117\">10.1117/12.2224117</a>}, booktitle={SPIE Defense, Security, and Sensing}, author={Marrinan, Tim and Beveridge, J. Ross and Draper, Bruce and Kirby, Michael and Peterson, Chris}, year={2016} }","apa":"Marrinan, T., Beveridge, J. R., Draper, B., Kirby, M., &#38; Peterson, C. (2016). Flag-based detection of weak gas signatures in long-wave infrared hyperspectral image sequences. <i>SPIE Defense, Security, and Sensing</i>. <a href=\"https://doi.org/10.1117/12.2224117\">https://doi.org/10.1117/12.2224117</a>"},"year":"2016","doi":"10.1117/12.2224117","title":"Flag-based detection of weak gas signatures in long-wave infrared hyperspectral image sequences.","author":[{"full_name":"Marrinan, Tim","last_name":"Marrinan","first_name":"Tim"},{"full_name":"Beveridge, J. Ross","last_name":"Beveridge","first_name":"J. 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Clerckx, IEEE Trans.\\ Comm. 64 (2016) 1068–1082.","bibtex":"@article{Rezaee_Schreier_Guillaud_Clerckx_2016, title={A unified scheme to achieve the degrees-of-freedom region of the MIMO interference channel with delayed channel state information}, volume={64}, number={3}, journal={IEEE Trans.\\ Comm.}, author={Rezaee, Mohsen and Schreier, Peter J. and Guillaud, M. and Clerckx, B.}, year={2016}, pages={1068–1082} }","apa":"Rezaee, M., Schreier, P. J., Guillaud, M., &#38; Clerckx, B. (2016). A unified scheme to achieve the degrees-of-freedom region of the MIMO interference channel with delayed channel state information. <i>IEEE Trans.\\ Comm.</i>, <i>64</i>(3), 1068–1082.","ama":"Rezaee M, Schreier PJ, Guillaud M, Clerckx B. A unified scheme to achieve the degrees-of-freedom region of the MIMO interference channel with delayed channel state information. <i>IEEE Trans\\ Comm</i>. 2016;64(3):1068–1082.","ieee":"M. Rezaee, P. J. Schreier, M. Guillaud, and B. Clerckx, “A unified scheme to achieve the degrees-of-freedom region of the MIMO interference channel with delayed channel state information,” <i>IEEE Trans.\\ Comm.</i>, vol. 64, no. 3, pp. 1068–1082, 2016.","chicago":"Rezaee, Mohsen, Peter J. Schreier, M. Guillaud, and B. Clerckx. “A Unified Scheme to Achieve the Degrees-of-Freedom Region of the MIMO Interference Channel with Delayed Channel State Information.” <i>IEEE Trans.\\ Comm.</i> 64, no. 3 (2016): 1068–1082."},"issue":"3","title":"A unified scheme to achieve the degrees-of-freedom region of the MIMO interference channel with delayed channel state information","date_updated":"2023-01-30T12:02:29Z","volume":64,"author":[{"last_name":"Rezaee","full_name":"Rezaee, Mohsen","first_name":"Mohsen"},{"full_name":"Schreier, Peter J.","last_name":"Schreier","first_name":"Peter J."},{"last_name":"Guillaud","full_name":"Guillaud, M.","first_name":"M."},{"full_name":"Clerckx, B.","last_name":"Clerckx","first_name":"B."}],"date_created":"2023-01-30T11:51:43Z","status":"public","publication":"IEEE Trans.\\ Comm.","type":"journal_article","_id":"40730","department":[{"_id":"263"}],"user_id":"43497"},{"place":"Kuala Lumpur, Malaysia","year":"2016","citation":{"ama":"Soleymani M, Maham B, Ashtiani F. Analysis of the downlink saturation throughput of an asymmetric IEEE 802.11 n-based WLAN. In: <i>Proc. IEEE International Conference on Communications (ICC)</i>. ; 2016:1–6. doi:<a href=\"https://doi.org/10.1109/ICC.2016.7511453\">10.1109/ICC.2016.7511453</a>","ieee":"M. Soleymani, B. Maham, and F. Ashtiani, “Analysis of the downlink saturation throughput of an asymmetric IEEE 802.11 n-based WLAN,” in <i>Proc. IEEE International Conference on Communications (ICC)</i>, 2016, pp. 1–6, doi: <a href=\"https://doi.org/10.1109/ICC.2016.7511453\">10.1109/ICC.2016.7511453</a>.","chicago":"Soleymani, Mohammad, Behrouz Maham, and Farid Ashtiani. “Analysis of the Downlink Saturation Throughput of an Asymmetric IEEE 802.11 n-Based WLAN.” In <i>Proc. IEEE International Conference on Communications (ICC)</i>, 1–6. Kuala Lumpur, Malaysia, 2016. <a href=\"https://doi.org/10.1109/ICC.2016.7511453\">https://doi.org/10.1109/ICC.2016.7511453</a>.","bibtex":"@inproceedings{Soleymani_Maham_Ashtiani_2016, place={Kuala Lumpur, Malaysia}, title={Analysis of the downlink saturation throughput of an asymmetric IEEE 802.11 n-based WLAN}, DOI={<a href=\"https://doi.org/10.1109/ICC.2016.7511453\">10.1109/ICC.2016.7511453</a>}, booktitle={Proc. IEEE International Conference on Communications (ICC)}, author={Soleymani, Mohammad and Maham, Behrouz and Ashtiani, Farid}, year={2016}, pages={1–6} }","mla":"Soleymani, Mohammad, et al. “Analysis of the Downlink Saturation Throughput of an Asymmetric IEEE 802.11 n-Based WLAN.” <i>Proc. IEEE International Conference on Communications (ICC)</i>, 2016, pp. 1–6, doi:<a href=\"https://doi.org/10.1109/ICC.2016.7511453\">10.1109/ICC.2016.7511453</a>.","short":"M. Soleymani, B. Maham, F. Ashtiani, in: Proc. IEEE International Conference on Communications (ICC), Kuala Lumpur, Malaysia, 2016, pp. 1–6.","apa":"Soleymani, M., Maham, B., &#38; Ashtiani, F. (2016). Analysis of the downlink saturation throughput of an asymmetric IEEE 802.11 n-based WLAN. <i>Proc. IEEE International Conference on Communications (ICC)</i>, 1–6. <a href=\"https://doi.org/10.1109/ICC.2016.7511453\">https://doi.org/10.1109/ICC.2016.7511453</a>"},"page":"1–6","date_updated":"2023-01-30T12:02:27Z","author":[{"full_name":"Soleymani, Mohammad","last_name":"Soleymani","first_name":"Mohammad"},{"first_name":"Behrouz","last_name":"Maham","full_name":"Maham, Behrouz"},{"full_name":"Ashtiani, Farid","last_name":"Ashtiani","first_name":"Farid"}],"date_created":"2023-01-30T11:51:43Z","title":"Analysis of the downlink saturation throughput of an asymmetric IEEE 802.11 n-based WLAN","doi":"10.1109/ICC.2016.7511453","type":"conference","publication":"Proc. IEEE International Conference on Communications (ICC)","status":"public","_id":"40726","user_id":"43497","department":[{"_id":"263"}]},{"_id":"40722","user_id":"43497","department":[{"_id":"263"}],"type":"journal_article","publication":"NeuroImage","status":"public","date_updated":"2023-01-30T12:02:19Z","author":[{"first_name":"Y.","last_name":"Levin-Schwartz","full_name":"Levin-Schwartz, Y."},{"first_name":"Yang","last_name":"Song","full_name":"Song, Yang"},{"first_name":"Peter J.","last_name":"Schreier","full_name":"Schreier, Peter J."},{"full_name":"Calhoun, V.D.","last_name":"Calhoun","first_name":"V.D."},{"first_name":"Tülay","last_name":"Adali","full_name":"Adali, Tülay"}],"date_created":"2023-01-30T11:51:42Z","volume":134,"title":"Sample-poor estimation of order and common signal subspace with application to fusion of medical imaging data","year":"2016","citation":{"mla":"Levin-Schwartz, Y., et al. “Sample-Poor Estimation of Order and Common Signal Subspace with Application to Fusion of Medical Imaging Data.” <i>NeuroImage</i>, vol. 134, 2016, pp. 486–493.","short":"Y. Levin-Schwartz, Y. Song, P.J. Schreier, V.D. Calhoun, T. Adali, NeuroImage 134 (2016) 486–493.","bibtex":"@article{Levin-Schwartz_Song_Schreier_Calhoun_Adali_2016, title={Sample-poor estimation of order and common signal subspace with application to fusion of medical imaging data}, volume={134}, journal={NeuroImage}, author={Levin-Schwartz, Y. and Song, Yang and Schreier, Peter J. and Calhoun, V.D. and Adali, Tülay}, year={2016}, pages={486–493} }","apa":"Levin-Schwartz, Y., Song, Y., Schreier, P. J., Calhoun, V. D., &#38; Adali, T. (2016). Sample-poor estimation of order and common signal subspace with application to fusion of medical imaging data. <i>NeuroImage</i>, <i>134</i>, 486–493.","ieee":"Y. Levin-Schwartz, Y. Song, P. J. Schreier, V. D. Calhoun, and T. Adali, “Sample-poor estimation of order and common signal subspace with application to fusion of medical imaging data,” <i>NeuroImage</i>, vol. 134, pp. 486–493, 2016.","chicago":"Levin-Schwartz, Y., Yang Song, Peter J. Schreier, V.D. Calhoun, and Tülay Adali. “Sample-Poor Estimation of Order and Common Signal Subspace with Application to Fusion of Medical Imaging Data.” <i>NeuroImage</i> 134 (2016): 486–493.","ama":"Levin-Schwartz Y, Song Y, Schreier PJ, Calhoun VD, Adali T. Sample-poor estimation of order and common signal subspace with application to fusion of medical imaging data. <i>NeuroImage</i>. 2016;134:486–493."},"page":"486–493","intvolume":"       134"},{"author":[{"last_name":"Lameiro","full_name":"Lameiro, Christian","first_name":"Christian"},{"last_name":"Schreier","full_name":"Schreier, Peter J.","first_name":"Peter J."}],"date_created":"2023-01-30T11:51:42Z","date_updated":"2023-01-30T12:02:16Z","title":"Cross-validation techniques for determining the number of correlated components between two data sets when the number of samples is very small","citation":{"ama":"Lameiro C, Schreier PJ. Cross-validation techniques for determining the number of correlated components between two data sets when the number of samples is very small. In: <i>Proc.\\ Asilomar Conf.\\ Signals Syst.\\ Computers</i>. ; 2016.","chicago":"Lameiro, Christian, and Peter J. Schreier. “Cross-Validation Techniques for Determining the Number of Correlated Components between Two Data Sets When the Number of Samples Is Very Small.” In <i>Proc.\\ Asilomar Conf.\\ Signals Syst.\\ Computers</i>. Pacific Grove, CA, USA, 2016.","ieee":"C. Lameiro and P. J. Schreier, “Cross-validation techniques for determining the number of correlated components between two data sets when the number of samples is very small,” 2016.","apa":"Lameiro, C., &#38; Schreier, P. J. (2016). Cross-validation techniques for determining the number of correlated components between two data sets when the number of samples is very small. <i>Proc.\\ Asilomar Conf.\\ Signals Syst.\\ Computers</i>.","bibtex":"@inproceedings{Lameiro_Schreier_2016, place={Pacific Grove, CA, USA}, title={Cross-validation techniques for determining the number of correlated components between two data sets when the number of samples is very small}, booktitle={Proc.\\ Asilomar Conf.\\ Signals Syst.\\ Computers}, author={Lameiro, Christian and Schreier, Peter J.}, year={2016} }","short":"C. Lameiro, P.J. Schreier, in: Proc.\\ Asilomar Conf.\\ Signals Syst.\\ Computers, Pacific Grove, CA, USA, 2016.","mla":"Lameiro, Christian, and Peter J. Schreier. “Cross-Validation Techniques for Determining the Number of Correlated Components between Two Data Sets When the Number of Samples Is Very Small.” <i>Proc.\\ Asilomar Conf.\\ Signals Syst.\\ Computers</i>, 2016."},"place":"Pacific Grove, CA, USA","year":"2016","user_id":"43497","department":[{"_id":"263"}],"_id":"40719","type":"conference","publication":"Proc.\\ Asilomar Conf.\\ Signals Syst.\\ Computers","status":"public"},{"user_id":"43497","department":[{"_id":"263"}],"_id":"40729","status":"public","type":"conference","publication":"Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.","title":"Maximally improper interference in underlay cognitive radio networks","date_created":"2023-01-30T11:51:43Z","author":[{"full_name":"Lameiro, Christian","last_name":"Lameiro","first_name":"Christian"},{"full_name":"Santamaría, I.","last_name":"Santamaría","first_name":"I."},{"full_name":"Utschick, W.","last_name":"Utschick","first_name":"W."},{"first_name":"Peter J.","full_name":"Schreier, Peter J.","last_name":"Schreier"}],"date_updated":"2023-01-30T12:02:25Z","citation":{"mla":"Lameiro, Christian, et al. “Maximally Improper Interference in Underlay Cognitive Radio Networks.” <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i>, 2016.","bibtex":"@inproceedings{Lameiro_Santamaría_Utschick_Schreier_2016, place={Shanghai, China}, title={Maximally improper interference in underlay cognitive radio networks}, booktitle={Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.}, author={Lameiro, Christian and Santamaría, I. and Utschick, W. and Schreier, Peter J.}, year={2016} }","short":"C. Lameiro, I. Santamaría, W. Utschick, P.J. Schreier, in: Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process., Shanghai, China, 2016.","apa":"Lameiro, C., Santamaría, I., Utschick, W., &#38; Schreier, P. J. (2016). Maximally improper interference in underlay cognitive radio networks. <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i>","ama":"Lameiro C, Santamaría I, Utschick W, Schreier PJ. Maximally improper interference in underlay cognitive radio networks. In: <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i> ; 2016.","chicago":"Lameiro, Christian, I. Santamaría, W. Utschick, and Peter J. Schreier. “Maximally Improper Interference in Underlay Cognitive Radio Networks.” In <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i> Shanghai, China, 2016.","ieee":"C. Lameiro, I. Santamaría, W. Utschick, and P. J. Schreier, “Maximally improper interference in underlay cognitive radio networks,” 2016."},"place":"Shanghai, China","year":"2016"},{"title":"Measurement-driven quality assessment of nonlinear systems by exponential replacement","author":[{"full_name":"Stein, Manuel","last_name":"Stein","first_name":"Manuel"},{"first_name":"Josef A.","last_name":"Nossek","full_name":"Nossek, Josef A."},{"last_name":"Barbé","full_name":"Barbé, Kurt","first_name":"Kurt"}],"date_created":"2023-01-30T11:51:43Z","date_updated":"2023-01-30T12:02:22Z","citation":{"mla":"Stein, Manuel, et al. “Measurement-Driven Quality Assessment of Nonlinear Systems by Exponential Replacement.” <i>Proc.\\ IEEE Int. Instrum. &#38; Meas. Tech.\\ Conf.</i>, 2016.","bibtex":"@inproceedings{Stein_Nossek_Barbé_2016, place={Taipei, Taiwan}, title={Measurement-driven quality assessment of nonlinear systems by exponential replacement}, booktitle={Proc.\\ IEEE Int. Instrum. &#38; Meas. Tech.\\ Conf.}, author={Stein, Manuel and Nossek, Josef A. and Barbé, Kurt}, year={2016} }","short":"M. Stein, J.A. Nossek, K. Barbé, in: Proc.\\ IEEE Int. Instrum. &#38; Meas. Tech.\\ Conf., Taipei, Taiwan, 2016.","apa":"Stein, M., Nossek, J. A., &#38; Barbé, K. (2016). Measurement-driven quality assessment of nonlinear systems by exponential replacement. <i>Proc.\\ IEEE Int. Instrum. &#38; Meas. Tech.\\ Conf.</i>","ieee":"M. Stein, J. A. Nossek, and K. Barbé, “Measurement-driven quality assessment of nonlinear systems by exponential replacement,” 2016.","chicago":"Stein, Manuel, Josef A. Nossek, and Kurt Barbé. “Measurement-Driven Quality Assessment of Nonlinear Systems by Exponential Replacement.” In <i>Proc.\\ IEEE Int. Instrum. &#38; Meas. Tech.\\ Conf.</i> Taipei, Taiwan, 2016.","ama":"Stein M, Nossek JA, Barbé K. Measurement-driven quality assessment of nonlinear systems by exponential replacement. In: <i>Proc.\\ IEEE Int. Instrum. &#38; Meas. 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