DocumentCode
2782428
Title
A new gradient algorithm for FIR adaptive digital filters using multirate technique
Author
Chinen, Tohru ; Honma, Hitoshi ; Sagawa, Masahiko
Author_Institution
Dept. of Electr. Eng., Tokyo Metropolitan Univ., Japan
fYear
1990
fDate
12-14 Aug 1990
Firstpage
13
Abstract
A new structure using a multirate technique for FIR adaptive digital filters (ADFs) is proposed. The convergence of the proposed ADF is accelerated in proportion to the increase of sampling rate while the minimum MSE and the optimum weights of the proposed ADF are constant values regardless of the sampling rate. The simulation results show the improvement in performance that can be achieved with the proposed structure
Keywords
adaptive filters; convergence; digital filters; ADF; FIR adaptive digital filters; convergence; gradient algorithm; minimum MSE; multirate technique; optimum weights; sampling rate; Acceleration; Adaptive algorithm; Adaptive filters; Adaptive systems; Autocorrelation; Convergence; Digital filters; Finite impulse response filter; Least squares approximation; Sampling methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1990., Proceedings of the 33rd Midwest Symposium on
Conference_Location
Calgary, Alta.
Print_ISBN
0-7803-0081-5
Type
conf
DOI
10.1109/MWSCAS.1990.140640
Filename
140640
Link To Document