DocumentCode :
2127901
Title :
Design of causal IIR perfect reconstruction filter banks
Author :
Zhang, Xi ; Yoshikawa, Toshinori
Author_Institution :
Dept. of Electr. Eng., Nagaoka Univ. of Technol., Niigata, Japan
Volume :
3
fYear :
1998
fDate :
12-15 May 1998
Firstpage :
1429
Abstract :
This paper presents a new method for designing two channel biorthogonal IIR filter banks, which satisfy both the perfect reconstruction and causal stable conditions. The proposed method is based on the formulation of a generalized eigenvalue problem by using the Remez multiple exchange algorithm. Therefore, the filter coefficients can be computed by solving the eigenvalue problem, and the optimal solution is easily obtained through a few iterations. One example is designed to demonstrate the effectiveness of the proposed method
Keywords :
IIR filters; band-pass filters; eigenvalues and eigenfunctions; filtering theory; iterative methods; signal reconstruction; IIR filter banks; Remez multiple exchange algorithm; causal stable conditions; filter coefficients; generalized eigenvalue problem; iterations; optimal solution; perfect reconstruction filter banks; two channel biorthogonal IIR filter banks; Algorithm design and analysis; Channel bank filters; Chebyshev approximation; Design methodology; Eigenvalues and eigenfunctions; Filter bank; Finite impulse response filter; Frequency response; IIR filters; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
ISSN :
1520-6149
Print_ISBN :
0-7803-4428-6
Type :
conf
DOI :
10.1109/ICASSP.1998.681716
Filename :
681716
Link To Document :
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