Title :
On exact performances of adaptive Volterra filters: the finite alphabet case
Author :
Besbes, H. ; Jaidane, M. ; Ezzine, J.
Author_Institution :
L.S. Telecomes, Ghazala, Tunisia
Abstract :
This paper deals with the analysis of adaptive Volterra filters in the finite alphabet inputs case. A tailored approach for this context is presented. Complete and rigorous mean square analysis are provided without any constraining independence assumption. An exact transient and steady state performances such as critical step size, rate of transient decrease, optimal step size and excess mean square error, are deduced
Keywords :
FIR filters; Volterra series; adaptive filters; filtering theory; identification; least mean squares methods; LMS algorithm; adaptive Volterra filters; critical step size; excess mean square error; finite alphabet inputs; mean square analysis; optimal step size; steady state performance; transient decrease rate; transient performance; Adaptive filters; Computer aided software engineering; Convergence; Equations; Finite impulse response filter; Least squares approximation; Mean square error methods; Nonlinear filters; Performance evaluation; Steady-state;
Conference_Titel :
Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
Conference_Location :
Geneva
Print_ISBN :
0-7803-5482-6
DOI :
10.1109/ISCAS.2000.856134
