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Optimizing FIR Approximation for Discrete-Time IIR Filters

Yamamoto, Yutaka; Anderson, Brian; Nagahara, Masaaki; Koyanagi, Yoko

Description

Finite-impulse response (FIR) filters are often preferred to infinite-impulse response (IIR) filters because of their various advantages in respect of stability, phase characteristic, implementation, etc. This letter proposes a new method to approximate an IIR filter by an FIR filter, which directly yields an optimal approximation with respect to the H∞ error norm. We show that this design problem can be reduced to a linear matrix inequality. We will also make a comparison via a numerical...[Show more]

CollectionsANU Research Publications
Date published: 2003
Type: Journal article
URI: http://hdl.handle.net/1885/85848
Source: IEEE Signal Processing Letters
DOI: 10.1109/LSP.2003.815615

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