Efficient Sparse Blind Source Separation Algorithm for two- Channel Acoustic Noise Reduction

Abstract

Recently, the acoustic noise reduction problem is treated by twochannel forward blind source separation (BSS) techniques combined with normalized least mean square algorithm (T-FNLMS). The TFNLMS algorithm shows good performances in two-channel convolutive dispersive mixture. In this paper, we propose new BSS structure based on the two-channel sparse normalized least mean square algorithm (TS-NLMS). The TS-NLMS algorithm is proposed exactly when the convolutive mixing system is characterized by sparse impulse responses. To confirm the good performance of this proposed algorithm, intensive experiments are done in acoustic noise reduction.