Title :
An adaptive variable step-size pre-filter bank algorithm for colored environments
Author :
Liu, Ting ; Gazor, Saeed
Author_Institution :
Dept. of Electr. & Comput. Eng., Queen´´s Univ., Canada
Abstract :
A variable step-size (VS) algorithm is proposed based on the pre-filter bank (pfb) adaptive algorithm, first introduced by Courville and Duhamel (1998). The proposed algorithm adjusts the step-sizes of the subbands by using a simplified version of the Benveniste procedure (Ang et al. (2001)). As the filter banks are commonly narrowband filters, their nondecimated outputs are highly correlated. This correlation allows us to approximate the subband autocorrelation matrices by single rank matrices, thus permitting us to simplify and reduce the computational complexity of the VS procedures. The proposed inexpensive algorithm is very efficient in terms of tracking capabilities and initial learning for environments with colored additive noise and colored input signal.
Keywords :
adaptive filters; channel bank filters; correlation methods; matrix algebra; tracking filters; Benveniste procedure; adaptive algorithm; colored additive noise; colored input signal; correlation; initial learning; narrowband filters; nondecimated outputs; pre-filter bank; single rank matrices; subband autocorrelation matrices; subbands; tracking capabilities; variable step-size algorithm; Adaptive algorithm; Adaptive filters; Additive noise; Computational complexity; Convergence; Filter bank; Least squares approximation; Narrowband; Nonlinear filters; Wiener filter;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
Print_ISBN :
0-7803-7663-3
DOI :
10.1109/ICASSP.2003.1201692