DocumentCode
3481932
Title
Low-order IIR filter bank design
Author
Tuan, H.D. ; Son, T.T. ; Nguyen, T.Q.
Author_Institution
Dept. Electr. & Comput. Eng., Toyota Technol. Inst., Nagoya, Japan
Volume
6
fYear
2003
fDate
6-10 April 2003
Abstract
The advantage of IIR filters over FIR ones is that the former require a much lower order to obtain the desired response specifications. However, the existing deterministic techniques for IIR filter bank design based on heuristic usually lead to too high order IIR filters and thus cannot be practically used. In this paper, we propose new method to solve the low-order IIR filter bank design, which is based on linear matrix inequalities (LMI) optimization. Our focus is the QMF bank design, although other IIR filter related problems can be treated and solved in similar way.
Keywords
IIR filters; channel bank filters; matrix algebra; optimisation; quadrature mirror filters; IIR filters; LMI optimization; QMF bank design; filter bank design; linear matrix inequalities; low-order filter bank design; Constraint optimization; Design optimization; Filter bank; Finite impulse response filter; IIR filters; Lyapunov method; Optimal control; Output feedback; Riccati equations;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-7663-3
Type
conf
DOI
10.1109/ICASSP.2003.1201733
Filename
1201733
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