Title :
Multi-layer adaptive filtering
Author :
Faraj, Z. ; Kahla, M. Ibn ; Castanie, F.
Author_Institution :
ENSEEIHT-GAPSE, Toulouse, France
Abstract :
The structure of the multilayer adaptive filter is similar to that of a multilayer perceptron with an input layer to which signal samples are presented, an output layer where the estimated signal is obtained, and one or more intermediate layers of nodes. This paper describes the multi-layer adaptive algorithm, and numerical examples illustrate its performances
Keywords :
adaptive filters; backpropagation; feedforward neural nets; filtering and prediction theory; input layer; intermediate layers of nodes; multilayer adaptive filter; multilayer perceptron; output layer; performances; Adaptive algorithm; Adaptive filters; Algorithm design and analysis; Equations; Error correction; Ferroelectric films; Least squares approximation; Multilayer perceptrons; Nonvolatile memory; Random access memory;
Conference_Titel :
Statistical Signal and Array Processing, 1992. Conference Proceedings., IEEE Sixth SP Workshop on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-0508-6
DOI :
10.1109/SSAP.1992.246847
