DocumentCode
1302686
Title
Peak-constrained least-squares optimization
Author
Adams, John W. ; Sullivan, James L.
Author_Institution
Dept. of Electr. & Comput. Eng., California State Univ., Northridge, CA, USA
Volume
46
Issue
2
fYear
1998
fDate
2/1/1998 12:00:00 AM
Firstpage
306
Lastpage
321
Abstract
We presented the basic concepts for peak-constrained least-squares (PCLS) optimization in previous papers. We present advanced PCLS optimization concepts in this paper. This paper discusses only a few of the many ways that PCLS design problems can be formulated. We believe that the PCLS optimality criterion can be customized to fit virtually any practical application. For example, PCLS optimization can readily be used to design equalizers in the prefilter-equalizer or interpolated FIR implementations of filters
Keywords
FIR filters; circuit optimisation; digital filters; equalisers; filtering theory; interpolation; least squares approximations; advanced PCLS optimization; digital filters; equalizers design; interpolated FIR; peak-constrained least-squares optimization; prefilter-equalizer; Computer errors; Constraint optimization; Design optimization; Digital filters; Finite impulse response filter; IIR filters; Iterative algorithms; Minimax techniques; Shape; Terminology;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.655417
Filename
655417
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