Title :
Signal modelling through adaptive Volterra representations
Author :
Chan, Calvin K. ; Stathaki, Tania
Author_Institution :
Dept. of Electr. Eng., Imperial Coll. of Sci., Technol. & Med., London
fDate :
12/4/1997 12:00:00 AM
Abstract :
In adaptive Volterra signal modelling, the recursive implementations of the method of least squares commonly employ a weighting factor which has constraints. Here, the least squares estimation is reformulated as a constrained optimisation problem and solved using the Lagrange programming neural networks. The weighting factor is adapted and found to be optimal
Keywords :
signal representation; Lagrange programming neural network; adaptive Volterra representation; constrained optimisation; least squares estimation; recursive method; signal model; weighting factor;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19971415
