Title :
A weighted least-square-based approach to FIR filter design using the frequency-response masking technique
Author :
Lee, W.R. ; Rehbock, V. ; Teo, K.L. ; Caccetta, L.
Author_Institution :
Dept. of Math. & Stat., Curtin Univ. of Technol., Perth, WA, Australia
fDate :
7/1/2004 12:00:00 AM
Abstract :
This paper presents a new method for the design of sharp linear phase FIR filters using the frequency-response masking (FRM) technique. The method is based on a weighted least square (WLS) approach, and the design problem is solved iteratively. The original least square (LS) problem is decomposed into two LS problems, each of which can be solved analytically. The effectiveness of the method is demonstrated through the design of a lowpass linear phase sharp FIR digital filter.
Keywords :
FIR filters; frequency response; least squares approximations; linear phase filters; low-pass filters; minimax techniques; FIR digital filter design; FRM; frequency-response masking technique; linear phase filter; lowpass filter; minimax; weighted least-square; Design methodology; Digital filters; Finite impulse response filter; Frequency; Helium; Least squares methods; Mathematics; Minimax techniques; Optimization methods; Signal processing algorithms;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2004.830109
