Adaptive paraunitary filter banks for principal and minor subspace analysis

Author

Douglas, S.C. ; Amari, S. ; Kung, S.Y.

Author_Institution

Dept. of Electr. Eng., Southern Methodist Univ., Dallas, TX, USA

Volume

2

fYear

1999

fDate

15-19 Mar 1999

Firstpage

1089

Abstract

Paraunitary filter banks are important for several signal processing tasks. We consider the task of adapting the coefficients of a multichannel FIR paraunitary filter bank via gradient ascent or descent on a chosen cost function. The proposed generalized algorithms inherently adapt the system´s parameters in the space of paraunitary filters. Modifications and simplifications of the techniques for spatio-temporal principal and minor subspace analysis are described. Simulations verify one algorithm´s useful behavior in this task

Keywords

FIR filters; adaptive filters; adaptive signal processing; channel bank filters; filtering theory; gradient methods; adaptive paraunitary filter banks; cost function; filter coefficients; generalized algorithms; gradient ascent; gradient descent; multichannel FIR paraunitary filter bank; signal processing; simulations; spatio-temporal minor subspace analysis; spatio-temporal principal subspace analysis; system parameters; Adaptive filters; Channel bank filters; Cost function; Filter bank; Finite impulse response filter; Image coding; Information systems; Linear systems; Principal component analysis; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on

Conference_Location

Phoenix, AZ

ISSN

1520-6149

Print_ISBN

0-7803-5041-3

Type

conf

DOI

10.1109/ICASSP.1999.759933

Filename

759933