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
fDate :
2/1/1998 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on
