Title :
A comparison between the Wiener and the LMS methods in FIR digital filter synthesis using adaptive modeling
Author :
Miramontes, G. ; García, E. ; Richardson, A.
Author_Institution :
Centro Reg. de Estudios Nucl. UAZ, Zacatecas, Mexico
Abstract :
A comparison between the Wiener least square solution and the LMS algorithm in the FIR digital filter synthesis by adaptive modeling is presented. In the LMS case, a “cut and try” technique is less appropriate because changes in the weights of the cost function affect the desired frequency points as well as the frequency points where a good approximation of the frequency response was already obtained
Keywords :
FIR filters; Wiener filters; adaptive filters; digital filters; filtering theory; frequency response; least mean squares methods; FIR digital filter synthesis; LMS algorithm; LMS methods; Wiener least square solution; adaptive modeling; cost function weights; frequency points; frequency response approximation; Adaptive filters; Adaptive systems; Cost function; Digital filters; Equations; Finite impulse response filter; Frequency response; Least squares approximation; Least squares methods; System identification;
Conference_Titel :
Communications, Computers, and Signal Processing, 1995. Proceedings., IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-2553-2
DOI :
10.1109/PACRIM.1995.519547
