Blind source separation in frequency domain
Signal Processing
EURASIP Journal on Applied Signal Processing
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
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SSIP'05 Proceedings of the 5th WSEAS international conference on Signal, speech and image processing
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MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Blind Deconvolution of Sources in Fourier Space Based on Generalized Laplace Distribution
International Journal of System Dynamics Applications
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Despite several recent proposals to achieve blind source separation (BSS) for realistic acoustic signals, separation performance is still not good enough. In particular, when the length of impulse response is long, performance is highly limited. We show it is useless to be constrained by the condition, P /spl Lt/ T, where T is the frame size of FFT and P is the length of room impulse response. From our experiments. a frame size of 256 or 512 (32 or 64 ms at a sampling frequency of 8 kHz) is best even for the long room reverberation of T/sub R/ = 150 and 300 ms. We also clarified the reason for poor performance of BSS in a long reverberant environment, finding that separation is achieved chiefly for the sound from the direction of jammers because BSS cannot calculate the inverse of the room transfer function both for the target and jammer signals.