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- W2353441343 abstract "The convolutive blind source separation problem can be solved efficiently in frequency-domain.To solve the permutation ambiguity problem in frequency-domain,this paper presents a improved permutation alignment algorithm which exploits the power spectral density correlation between adjacent frequency bins of separated signals.Contrast to conventional algorithm,we extend the reference frequency bin to frequency range and consider a confidence measure,so that accurate permutation estimation can be acquired.Experimental results have verified the proposed algorithm could solve permutation ambiguity problem effectively.Furthermore,our algorithm corrected burst errors in some frequency bins,hence to minimize the spreading of the misalignment,improve the robustness of convolutive blind source separation algorithm." @default.
- W2353441343 created "2016-06-24" @default.
- W2353441343 creator A5036539248 @default.
- W2353441343 date "2011-01-01" @default.
- W2353441343 modified "2023-09-23" @default.
- W2353441343 title "A Improved Permutation Alignment Algorithm in Convolutive Blind Source Separation" @default.
- W2353441343 hasPublicationYear "2011" @default.
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