Blind source separation using variable step-size adaptive algorithm in frequency domain

Authors:
Hyun-Tae Kim;Jang-Sik Park
Affiliations:
Department of Multimedia Engineering, Dongeui University, Busan, South Korea;Department of Visual Technologies, Dongeui Institute of Technology, Busan, South Korea
Venue:
SSIP'05 Proceedings of the 5th WSEAS international conference on Signal, speech and image processing
Year:
2005

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Abstract

This paper introduces a variable step-size adaptive algorithm for blind source separation. From frequency characteristics of mixed input signals, we need to adjust the convergence speed regularly in each frequency bin. This algorithm varies a step-size according to the magnitude of input at each frequency bin. This guarantee of the regular convergence in each frequency bin would become more efficient in separation performances than conventional fixed step-size frequency domain ICA. Computer simulation results show the improvement of about 5 dB in signal to interference ratio(SIR) and the better separation quality.