New stable IIR modeling of long FIR filters with Low complexity

Jie Chen, Keshab K Parhi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a new efficient method for stable polezero modeling of long finite impulse response (FIR) filters. The proposed method is based on the formulation of a generalized system identification problem using the minimum mean-square error (MMSE) criterion. A computationally efficient MMSE solution is then derived by exploiting the structured matrices. The proposed method is general and applicable to cases with unequal numbers of poles and zeros. Compared with the Generalized ARMA-Levinson algorithm, the proposed method has lower computational complexity without loss of accuracy. Numerical results are provided to demonstrate the effectiveness of the proposed method.

Original languageEnglish (US)
Title of host publication2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008
Pages1649-1653
Number of pages5
DOIs
StatePublished - Dec 1 2008
Event2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008 - Pacific Grove, CA, United States
Duration: Oct 26 2008Oct 29 2008

Other

Other2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008
CountryUnited States
CityPacific Grove, CA
Period10/26/0810/29/08

Keywords

  • Computational complexity
  • Levinson
  • Minimum mean-square error (MMSE)
  • Pole-zero modeling
  • Structured matrices

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