DocumentCode :
3099942
Title :
Allpass vs. unit-norm constraints in contrast-based blind deconvolution
Author :
Douglas, Scott C. ; Kung, S.Y.
Author_Institution :
Dept. of Electr. Eng., Southern Methodist Univ., Dallas, TX, USA
fYear :
1999
fDate :
36373
Firstpage :
273
Lastpage :
282
Abstract :
Many contrast-based independent component analysis (ICA) algorithms can be directly applied to single-channel blind deconvolution tasks without modification. For prewhitened signals, however, an allpass constraint on the filter impulse response is more appropriate than a unit-norm constraint. We show how a finite-impulse-response filter can be adapted to maximize or minimize an arbitrary contrast function while approximately maintaining an allpass characteristic in a self-stabilizing fashion. Both online time domain and block-based frequency domain algorithms are described. Simulations verify the superior performance behaviors of the new algorithms over those of standard ICA algorithms in prewhitened blind deconvolution tasks
Keywords :
FIR filters; all-pass filters; deconvolution; matrix algebra; minimisation; allpass constraints; block-based frequency domain algorithms; contrast-based blind deconvolution; filter impulse response; finite-impulse-response filter; online time domain algorithms; prewhitened signals; unit-norm constraints; Channel estimation; Convolution; Deconvolution; Delay estimation; Filtering; Finite impulse response filter; Frequency domain analysis; Independent component analysis; Signal processing; USA Councils;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks for Signal Processing IX, 1999. Proceedings of the 1999 IEEE Signal Processing Society Workshop.
Conference_Location :
Madison, WI
Print_ISBN :
0-7803-5673-X
Type :
conf
DOI :
10.1109/NNSP.1999.788146
Filename :
788146
Link To Document :
بازگشت