NDLI: Design of FIR digital filters using weighted peak-constrained least-squares optimization

Content Provider	IEEE Xplore Digital Library
Author	Xu, X. Nowrouzian, B.
Copyright Year	1999
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Alberta Univ., Edmonton, Alta., Canada (Xu, X.)
Abstract	This paper is concerned with the application of the peak constrained least-squares (PCLS) optimization to the design of finite-impulse-response (FIR) digital filters. The salient feature of the PCLS optimization is that it permits the simultaneous min-max (MM) and least-squares (LS) optimization in a single run, leading to the design of digital filters exhibiting equal-ripple passband and minimum energy stopband magnitude-frequency response characteristics. The PCLS optimization proves to be particularly effective for the design of FIR digital filters having a large number of coefficients (both for symmetric as well as asymmetric digital filters), typically taking a small number of iterations to converge to the final optimal digital filter.
Starting Page	805
Ending Page	810
File Size	465679
Page Count	6
File Format	PDF
ISBN	0780355792
ISSN	08407789
DOI	10.1109/CCECE.1999.808057
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-05-09
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Finite impulse response filter Digital filters Design optimization Passband Frequency response Optimization methods Application software Constraint optimization Algorithm design and analysis Transfer functions
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Hardware and Architecture

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