Iterative reweighted least-squares design of FIR filters

Authors:
C.S. Burrus;J.A. Barreto;I.W. Selesnick
Affiliations:
Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX;-;-
Venue:
IEEE Transactions on Signal Processing
Year:
1994

Citing 0
Cited 4

A weighted L2-based method for the design of arbitrary one-dimensional FIR digital filters

Signal Processing
A unified framework for designing FIR filters with arbitrary magnitude and phase response

Digital Signal Processing
Realization of reduced-delay finite impulse response filters for audio applications

Digital Signal Processing
Fast communication: Adaptive sigmoidal plant identification using reduced sensitivity recursive least squares

Signal Processing

Quantified Score

Hi-index	35.68

Visualization

Abstract

Develops a new iterative reweighted least squares algorithm for the design of optimal Lp approximation FIR filters. The algorithm combines a variable p technique with a Newton's method to give excellent robust initial convergence and quadratic final convergence. Details of the convergence properties when applied to the Lp optimization problem are given. The primary purpose of Lp approximation for filter design is to allow design with different error criteria in pass and stopband and to design constrained L2 approximation filters. The new method can also be applied to the complex Chebyshev approximation problem and to the design of 2D FIR filters