An Iterative Technique for Optimally Designing Extrapolated Impulse Response Filter in the Mini-Max Sense

Hao WANG; Li ZHAO; Wenjiang PEI; Jiakuo ZUO; Qingyun WANG; Minghai XIN

doi:10.1587/transfun.E96.A.2029

Regular Section

An Iterative Technique for Optimally Designing Extrapolated Impulse Response Filter in the Mini-Max Sense

Hao WANG, Li ZHAO, Wenjiang PEI, Jiakuo ZUO, Qingyun WANG, Minghai XIN

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Keywords: finite impulse response filter, extrapolated impulse response filter, principal component analysis, semi-infinite programming, linear programming

JOURNAL RESTRICTED ACCESS

2013 Volume E96.A Issue 10 Pages 2029-2033

DOI https://doi.org/10.1587/transfun.E96.A.2029

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Abstract

The optimal design of an extrapolated impulse response (EIR) filter (in the mini-max sense) is a non-linear programming problem. In this paper, the optimal design of the EIR filter by the semi-infinite programming (SIP) is investigated and an iterative technique for optimally designing the EIR filter is proposed. The simulation experiment validates the effectiveness of the SIP technique and the proposed iterative technique in the optimal design of the EIR filter.

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