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