Xizhi Shi

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The performance of the complex-valued blind source separation (BSS) is studied in the frequency domain approach to separate convolutive speech mixtures. In this context, the strong uncorrelating transform (SUT) and complex maximization of non-Gaussianity (CMN) do not produce satisfactory separation results since their assumptions about the independence(More)
Multichannel blind equalization is an important task for numerous applications such as speech separation, dereverberation, communication, signal processing and control, etc. In this paper, a cost function is constructed by the knowledge of correlation. Then a novel on-line algorithm is derived with natural gradient search method for multichannel blind(More)
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