Optimization and estimation of complex-valued signals
T. Adali, P.J. Schreier, IEEE Signal Processing Magazine 31 (2014) 112–128.
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Journal Article
Author
Adali, Tulay;
Schreier, Peter J.
Department
Abstract
Complex-valued signals occur in many areas of science and engineering and are thus of fundamental interest. When developing signal processing methods in the complex domain, there are two key issues: making use of the full statistical information and optimization. In this article, we review the necessary tools to address these two key issues and provide examples in filtering and blind source separation (BSS) that utilize these tools.
Publishing Year
Journal Title
IEEE Signal Processing Magazine
Volume
31
Issue
5
Page
112–128
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Cite this
Adali T, Schreier PJ. Optimization and estimation of complex-valued signals. IEEE Signal Processing Magazine. 2014;31(5):112–128. doi:10.1109/MSP.2013.2287951
Adali, T., & Schreier, P. J. (2014). Optimization and estimation of complex-valued signals. IEEE Signal Processing Magazine, 31(5), 112–128. https://doi.org/10.1109/MSP.2013.2287951
@article{Adali_Schreier_2014, title={Optimization and estimation of complex-valued signals}, volume={31}, DOI={10.1109/MSP.2013.2287951}, number={5}, journal={IEEE Signal Processing Magazine}, author={Adali, Tulay and Schreier, Peter J.}, year={2014}, pages={112–128} }
Adali, Tulay, and Peter J. Schreier. “Optimization and Estimation of Complex-Valued Signals.” IEEE Signal Processing Magazine 31, no. 5 (2014): 112–128. https://doi.org/10.1109/MSP.2013.2287951.
T. Adali and P. J. Schreier, “Optimization and estimation of complex-valued signals,” IEEE Signal Processing Magazine, vol. 31, no. 5, pp. 112–128, 2014, doi: 10.1109/MSP.2013.2287951.
Adali, Tulay, and Peter J. Schreier. “Optimization and Estimation of Complex-Valued Signals.” IEEE Signal Processing Magazine, vol. 31, no. 5, 2014, pp. 112–128, doi:10.1109/MSP.2013.2287951.
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