Title :
Signal Adapted Filter Bank Design Using Markov Parameters
Author :
Vouras, Peter G. ; Tran, Trac D.
Author_Institution :
Johns Hopkins Univ., Baltimore
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;
Conference_Titel :
Signals, Systems and Computers, 2007. ACSSC 2007. Conference Record of the Forty-First Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4244-2109-1
Electronic_ISBN :
1058-6393
DOI :
10.1109/ACSSC.2007.4487394
