DocumentCode
3248642
Title
Signal Adapted Filter Bank Design Using Markov Parameters
Author
Vouras, Peter G. ; Tran, Trac D.
Author_Institution
Johns Hopkins Univ., Baltimore
fYear
2007
fDate
4-7 Nov. 2007
Firstpage
1108
Lastpage
1110
Abstract
In this paper a method for designing principal component filter banks (PCFBs) based on a truncated sequence of estimated Markov parameters is described. This technique yields filters that are an excellent approximation to the ideal PCFB channel filters without nearly the computational complexity of traditional numerical optimization methods.
Keywords
Markov processes; adaptive filters; parameter estimation; Markov parameter estimation; channel filters; filter bank design; principal component filter banks; Channel bank filters; Computational complexity; Design methodology; Eigenvalues and eigenfunctions; Filter bank; Finite impulse response filter; Karhunen-Loeve transforms; Parameter estimation; Signal design; Transfer functions; Markov parameters; principal component filter banks;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2007. ACSSC 2007. Conference Record of the Forty-First Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
978-1-4244-2109-1
Electronic_ISBN
1058-6393
Type
conf
DOI
10.1109/ACSSC.2007.4487394
Filename
4487394
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