Low-order IIR filter bank design

Low-order IIR filter bank design

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 practical...

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Bibliographische Detailangaben
Hauptverfasser: Tuan, H.D., Son, T.T., Nguyen, T.Q.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Constraint optimization
Design optimization
Filter bank
Finite impulse response filter
IIR filters
Lyapunov method
Optimal control
Output feedback
Riccati equations
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Beschreibung
Zusammenfassung: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.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2003.1201733