Title :
Considering non-stationarity for blind signal separation
Author :
Ahmed, Alijah ; Rayner, Peter J W ; Godsill, Simon J.
Author_Institution :
Dept. of Eng., Cambridge Univ., UK
Abstract :
We investigate the exploitation of non-stationarity for signal separation. A second-order decorrelation method is used to separate synthetic independent autoregressive signals that are made up of stationary blocks that have been convolutively mixed. We compare results obtained by not taking into account the non-stationarity with those that do. Under certain conditions, exploiting non-stationarity results in more robust separation. We present simulation results that vindicate this fact. In addition, we apply the decorrelation method to real microphone signals, to see how exploiting non-stationarity affects separation quality
Keywords :
array signal processing; autoregressive processes; convolution; decorrelation; microphones; speech processing; blind signal separation; real microphone signals; robust separation; second-order decorrelation method; sensor signal processing; separation quality; signal nonstationarity; simulation results; speech signals; stationary blocks; synthetic independent autoregressive signals; Blind source separation; Cost function; Decorrelation; Finite impulse response filter; Higher order statistics; Independent component analysis; Maximum likelihood estimation; Microphones; Robustness; Signal processing;
Conference_Titel :
Applications of Signal Processing to Audio and Acoustics, 1999 IEEE Workshop on
Conference_Location :
New Paltz, NY
Print_ISBN :
0-7803-5612-8
DOI :
10.1109/ASPAA.1999.810862
