Title :
The generalized sidelobe decorrelator
Author :
Fancourt, Craig ; Parra, Lucas
Author_Institution :
Adaptive Image & Signal Process. Group, Sarnoff Corp, Princeton, NJ, USA
Abstract :
We introduce a new hybrid algorithm called the generalized sidelobe decorrelator (GSD) that combines elements of geometric beamforming and blind source separation. On the one hand, it is an extension of the generalized sidelobe canceller (GSC), also known as the Griffiths-Jim beamformer, from the standard criteria of power minimization to a decorrelation criteria. On the other hand, it can be seen as an extension of a particular blind source separation (BSS) algorithm for non-stationary signals to include prior information about the location of one of the sources. However, unlike GSC, performance does not degrade with leakage of the source outside the primary beam and, unlike BSS, it performs well independent of whether the sources are simultaneously active. This makes it ideal for noise reduction in a continuously running on-line operation. We demonstrate its superior performance in a real-room audio experiment
Keywords :
acoustic arrays; acoustic noise; array signal processing; audio signal processing; decorrelation; interference suppression; BSS; Griffiths-Jim beamformer; blind source separation; generalized sidelobe canceller; generalized sidelobe decorrelator; geometric beamforming; hybrid algorithm; noise reduction; nonstationary signals; sensor arrays; Adaptive signal processing; Array signal processing; Blind source separation; Decorrelation; Degradation; Finite impulse response filter; Information geometry; Sensor arrays; Signal processing algorithms; Source separation;
Conference_Titel :
Applications of Signal Processing to Audio and Acoustics, 2001 IEEE Workshop on the
Conference_Location :
New Platz, NY
Print_ISBN :
0-7803-7126-7
DOI :
10.1109/ASPAA.2001.969569