Title :
Ripple-weighted approach to designing peak-constrained least-squares digital filters
Author :
Adams, John W. ; Ghadimi, Cyrus ; Tucker, Blake ; Gao, Qing ; Sullivan, J.L.
Author_Institution :
Sch. of Eng. & Comput. Sci., California State Univ., Northridge, CA, USA
Abstract :
The filters in the paper permit the designer to control the tradeoff between the peak error and the total squared error. These filters are designed according to the peak-constrained least-squares (PCLS) optimality criterion. The authors presented quadratic programming approaches to designing PCLS digital filters in Adams (1991) and Adams et al. (1993). In the present paper, the authors present the ripple weighted least-squares (RWLS) algorithm for designing PCLS digital filters
Keywords :
FIR filters; digital filters; least squares approximations; PCLS optimality criterion; RWLS algorithm; peak-constrained least-squares digital filters; ripple weighted least-squares RWLS algorithm; Algorithm design and analysis; Chebyshev approximation; Computer errors; Digital filters; Error correction; Finite impulse response filter; Frequency response; Iterative algorithms; Minimax techniques; Passband; Quadratic programming;
Conference_Titel :
Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-4120-7
DOI :
10.1109/ACSSC.1993.342608
