Computationally-Efficient Overdetermined Blind Source Separation Based on Iterative Source Steering

This paper describesa computationally-efficient optimization algorithm for the blind source separation (BSS) of overdetermined mixtures. In the determined case, a matrix-inversion-free iterative source steering (ISS) algorithm has been proposed for estimating a square demixing matrix as a computatio...

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Bibliographic Details
Published in:	IEEE signal processing letters Vol. 29; pp. 927 - 931
Main Authors:	Du, Yicheng, Scheibler, Robin, Togami, Masahito, Yoshii, Kazuyoshi, Kawahara, Tatsuya
Format:	Journal Article
Language:	English
Published:	New York IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Blind source separation Computational efficiency Computing costs Cost function Demixing fast algorithm independent vector analysis IP networks Iterative algorithms Iterative methods Mathematical analysis Matrix methods Microphones Optimization Overdetermined blind source separation Parameter estimation Separation Signal processing Signal processing algorithms Steering Vector analysis
ISSN:	1070-9908, 1558-2361
Online Access:	Get full text
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