Title :
Design of FIR filters with extra constraints using modified LMS algorithm
Author :
Savoji, M.H. ; Wysocka-Schillak, F.
Author_Institution :
Dept. of Electron., Cantabria Univ., Santander, Spain
fDate :
8/1/1995 12:00:00 AM
Abstract :
An adaptive approach to the design of linear phase low-pass FIR filters with extra constraints on filter coefficients is presented. In this approach, the procedures using the LMS adaptive algorithm are modified to include the constraints on the filter coefficients. Numerical examples are presented and compared to the results obtained using least-square design in the frequency domain in which the filter design problem is transformed into an equivalent nonlinear optimisation problem
Keywords :
FIR filters; adaptive filters; digital filters; frequency-domain synthesis; least mean squares methods; low-pass filters; nonlinear filters; optimisation; adaptive algorithm; filter coefficients; filter design problem; frequency domain; least-square design; linear phase low-pass FIR filters; modified LMS algorithm; nonlinear optimisation problem;
Journal_Title :
Vision, Image and Signal Processing, IEE Proceedings -
DOI :
10.1049/ip-vis:19951918
