Blind Signal Separation (BSS) is defined as independent of each other mixed-signal process and the source of the signal itself are unknown circumstances, from the mixed-signal to isolate the source of these signals. BSS can be used from multiple microphones mixed voice signal to extract a single speech signal. This paper briefly described LMS, RLS algorithm, and through simulation experiments to analyze the comparative performance of these two types of methods and take advantage of this method on a real speech signal separation.

Packet : 69491757blind_signal_separation_instantaneous_mixing_the_adaptive_algorithm_comparison.rar filelist
瞬时混合盲信号分离问题的自适应算法比较\audio1.wav
瞬时混合盲信号分离问题的自适应算法比较\audio2.wav
瞬时混合盲信号分离问题的自适应算法比较\bss.m
瞬时混合盲信号分离问题的自适应算法比较\bss_audio.m
瞬时混合盲信号分离问题的自适应算法比较\easi.m
瞬时混合盲信号分离问题的自适应算法比较\rls_rlsn.m
瞬时混合盲信号分离问题的自适应算法比较\瞬时混合盲信号分离问题的自适应算法比较.doc
瞬时混合盲信号分离问题的自适应算法比较

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