Blind Source Separation Using Variable Step-Size Adaptive Algorithm in Frequency Domain
نویسندگان
چکیده
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. Key-Words: Blind source separation, Independent component analysis, Adaptive algorithm, Variable step-size, Frequency domain ICA
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