Complex digital Laguerre filter design with weighted least square error subject to magnitude and phase constraints

Mohammad Ali Masnadi-Shirazi, Amin Zollanvari

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Complex coefficient optimal digital Laguerre filter design with arbitrary asymmetric frequency response is developed. The optimization scheme is based on the weighted least square error criterion with complex Chebyshev error used as its magnitude and phase constraints. Developed version of the active set method has been exploited to solve the resultant semi-infinite quadratic programming problem. A quick and practical approach is proposed to evaluate the suboptimal value of the Laguerre parameter close to its optimum value. The design technique can be applied to design of asymmetric FIR filters just by setting the Laguerre parameter equal to zero. The accuracy of the processes has been verified by illustrating some numerical examples.

Original languageEnglish
Pages (from-to)796-810
Number of pages15
JournalSignal Processing
Volume88
Issue number4
DOIs
Publication statusPublished - Apr 2008
Externally publishedYes

Fingerprint

Digital filters
Quadratic programming
FIR filters
Frequency response

Keywords

  • Complex digital Laguerre filter
  • Optimum Laguerre parameter
  • Peak constraint weighted least square design

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Complex digital Laguerre filter design with weighted least square error subject to magnitude and phase constraints. / Masnadi-Shirazi, Mohammad Ali; Zollanvari, Amin.

In: Signal Processing, Vol. 88, No. 4, 04.2008, p. 796-810.

Research output: Contribution to journalArticle

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