Title :
A fully LMS adaptive interpolated Volterra structure
Author :
Batista, Eduardo L O ; Tobias, Orlando J. ; Seara, Rui
Author_Institution :
Dept. of Electr. Eng., Fed. Univ. of Santa Catarina, Florianopolis
fDate :
March 31 2008-April 4 2008
Abstract :
The major drawback for using adaptive Volterra filters is the high computational complexity requirement. In this context, a large number of reduced complexity implementations have been proposed to increase the applicability of such filters. Contributing in this sense, this paper presents a fully LMS adaptive approach for implementing interpolated Volterra filters with a very good performance characteristic. The adaptive interpolated Volterra structure is a simplified version of the conventional one which adapts both the interpolator and the sparse filter. Numerical simulations illustrate the usefulness of the proposed approach.
Keywords :
adaptive filters; computational complexity; least mean squares methods; nonlinear filters; LMS adaptive interpolated Volterra structure; adaptive Volterra filters; reduced complexity implementations; sparse filter; Adaptive control; Adaptive filters; Adaptive signal processing; Computational complexity; Finite impulse response filter; Interpolation; Least squares approximation; Nonlinear filters; Numerical simulation; Programmable control; Adaptive filters; adaptive signal processing; interpolation; least mean square methods; nonlinear filters;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2008.4518434