DocumentCode :
341733
Title :
Transform domain adaptive Volterra filter algorithm based on constrained optimization
Author :
Zou, Yuexiun ; Chan, Shing-Chow ; Ng, Tung-Sang
Author_Institution :
Dept. of Electr. & Electron. Eng., Hong Kong Univ., Hong Kong
Volume :
3
fYear :
1999
fDate :
36342
Firstpage :
219
Abstract :
In this paper, a transform domain normalised partially decoupled LMS (TP-LMS) algorithm is proposed based on the partially decoupled transform domain Volterra filter. It is formulated by applying an orthogonal transform to the first order of the partially decoupled Volterra filter, in which the filter weights of a given order are optimised independently of those in the higher order. This approach results in solving the minimum mean square error (MSE) filtering problem as a series of constrained optimisation problems and the modular structure order by order. Simulation of a system identification application indicates TP-LMS algorithms provide a trade-off between convergence speed and computational complexity
Keywords :
Volterra equations; adaptive filters; circuit optimisation; computational complexity; filtering theory; least mean squares methods; nonlinear filters; computational complexity; constrained optimization; convergence speed; filter weights; minimum mean square error filtering problem; modular structure; orthogonal transform; partially decoupled LMS algorithm; system identification application; transform domain adaptive Volterra filter; Adaptive filters; Computational modeling; Constraint optimization; Convergence; Filtering; Least squares approximation; Mean square error methods; Nonlinear filters; Resonance light scattering; System identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1999. ISCAS '99. Proceedings of the 1999 IEEE International Symposium on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-5471-0
Type :
conf
DOI :
10.1109/ISCAS.1999.778824
Filename :
778824
Link To Document :
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