DocumentCode :
3542601
Title :
Filter bank design for an adaptive subband structure with critical sampling using a new adaptation scheme
Author :
Petraglia, Mariane R. ; Batalheiro, Paulo B.
Author_Institution :
Electron. Eng. Dept., Fed. Univ. of Rio de Janeiro, Brazil
fYear :
2005
fDate :
23-26 May 2005
Firstpage :
1114
Abstract :
In adaptive filtering, new structures and algorithms are frequently proposed with the objective of increasing the convergence speed and/or reducing the computational complexity of the conventional algorithms, mainly for applications that require a large number of adaptive coefficients. In such applications, adaptive subband structures are specially attractive since the adaptation and filtering are performed at a reduced sampling rate. Recently, an adaptive filtering structure with critical sampling was proposed, which is able to model exactly any finite impulse response system. In this paper a convergence analysis of an LMS type adaptation algorithm with power normalized step-sizes developed for this subband structure is presented and an optimization procedure to select the filter bank coefficients is proposed, which results in fast adaptation convergence rate and reduced mean-square error.
Keywords :
FIR filters; adaptive filters; channel bank filters; circuit optimisation; convergence; least mean squares methods; signal sampling; FIR system; LMS adaptation algorithm; adaptation convergence rate; adaptive subband filtering; adaptive subband structures; convergence speed; critical sampling; filter bank coefficients optimization; filter banks; finite impulse response systems; power normalized step-sizes; reduced sampling rate filtering; Adaptive filters; Algorithm design and analysis; Computational complexity; Convergence; Filter bank; Filtering algorithms; Finite impulse response filter; Least squares approximation; Power system modeling; Sampling methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on
Print_ISBN :
0-7803-8834-8
Type :
conf
DOI :
10.1109/ISCAS.2005.1464788
Filename :
1464788
Link To Document :
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