Least-Squares Algorithms for Complex-Valued Blind Source Separation-Reference-Cited by-同舟云学术

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Least-Squares Algorithms for Complex-Valued Blind Source Separation

Published:2024-01-09 Issue:4 Volume:43 Page:2608-2625
ISSN:0278-081X
Container-title:Circuits, Systems, and Signal Processing
language:en
Short-container-title:Circuits Syst Signal Process

Author:

E Jianwei^ORCID,Lu Zeyi

Funder

Guangxi Natural Science Foundation

Research Project of Guangxi Minzu University

Guangxi Science and Technology Department Specific Research Project of Guangxi for Research Bases and Talents

National Natural Science Foundation of China

Xiangsihu Young Scholars and Innovative Research Team of GXMZU

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00034-023-02582-1.pdf

Reference45 articles.

1. F. Albu, Improved variable forgetting factor recursive least square algorithm. IEEE 12th International Conference on Control, Automation, Robotics & Vision, 1789–1793 (2012)

2. J. Anemuller, T.J. Sejnowski, S. Makeig, Complex independent component analysis of frequency-domain electroencephalographic data. Neural Netw. 16(9), 1311–1323 (2003)

3. T. Adali, P.J. Schreier, L.L. Scharf, Complex-valued signal processing: the proper way to deal with impropriety. IEEE Trans. Signal Process. 59(11), 5101–5125 (2011)

4. E. Bingham, A. Hyv$$\ddot{a}$$rinen, A fast fixed-point algorithm for independent component analysis of complex valued signals. Int. J. Neural Syst. 10(1), 1–8 (2000)

5. Y.J. Chi, Guaranteed blind sparse spikes deconvolution via lifting and convex optimization. IEEE J. Sel. Top. Signal Process. 10(4), 782–794 (2016)

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