Title :
Peak-constrained least-squares design of IIR digital filters
Author :
Netto, Sergio L. ; Diniz, Paulo S R
Author_Institution :
COPPE, Univ. Fed. do Rio de Janeiro, Brazil
Abstract :
An approach for approximating infinite duration impulse response (IIR) digital filters is proposed. The method is able to compromise maximum stopband attenuation and minimum stopband energy requirements. The approach is based on the weighted-least-squares (WLS) method with a weight function which is made constant within a given frequency interval at each iteration. In that sense, IIR digital filters with partially WLS-like and partially equiripple stopbands are efficiently designed
Keywords :
Chebyshev filters; IIR filters; digital filters; least squares approximations; minimax techniques; network synthesis; Chebyshev method; IIR digital filters; Lawson method; Lim-Lee-Chen-Yang algorithm; approximation method; frequency interval; infinite duration impulse response; iteration; maximum stopband attenuation; minimax approach; minimum stopband energy; partially WLS-like stopbands; partially equiripple stopbands; peak-constrained least-squares design; weight function; weighted-least-squares method; Attenuation; Chebyshev approximation; Digital filters; Filter bank; Frequency response; IIR filters; Minimax techniques; Passband; Prototypes; Transfer functions;
Conference_Titel :
Advances in Digital Filtering and Signal Processing, 1998 IEEE Symposium on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-4957-1
DOI :
10.1109/ADFSP.1998.685694
