Title :
Fast block LMS adaptive Volterra filters
Author :
Lee, Junghsi ; Ma, Ginkou ; Hsu, Shih-Tse
Author_Institution :
Dept. of Electr. Eng., Yuan-Ze Univ., Taiwan
Abstract :
This paper presents fast block least mean square (LMS) adaptive Volterra filtering algorithms. The fast exact LMS Volterra algorithm requires a smaller number of computational complexities than the LMS Volterra counterpart while maintaining the same convergence properties. We also introduce a simplified structure that reduces the complexity further. Simulation results are provided to demonstrate the usefulness of our algorithms.
Keywords :
Volterra series; adaptive filters; adaptive signal processing; computational complexity; convergence of numerical methods; filtering theory; least mean squares methods; LMS Volterra algorithm; LMS Volterra filters; adaptive filtering algorithm; computational complexity reduction; convergence properties; fast block least mean square algorithm; Adaptive filters; Computational modeling; Convergence; Electronics industry; Filtering algorithms; Industrial electronics; Least squares approximation; Magnetic separation; Nonlinear filters; Signal processing algorithms;
Conference_Titel :
Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on
Print_ISBN :
0-7803-5700-0
DOI :
10.1109/ACSSC.1999.832439
