Title :
The complex backpropagation algorithm
Author :
Leung, Henry ; Haykin, Simon
Author_Institution :
Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada
fDate :
9/1/1991 12:00:00 AM
Abstract :
The backpropagation (BP) algorithm that provides a popular method for the design of a multilayer neural network to include complex coefficients and complex signals so that it can be applied to general radar signal processing and communications problems. It is shown that the network can classify complex signals. The generalization of the BP to deal with complex signals should make it possible to expand the line of applications of this powerful nonlinear signal processing algorithm
Keywords :
neural nets; radar theory; signal processing; complex backpropagation algorithm; complex coefficients; complex signals; design; multilayer neural network; nonlinear signal processing algorithm; radar signal processing; Adaptive signal processing; Array signal processing; Backpropagation algorithms; Circuits; Least squares approximation; Matrix decomposition; Multi-layer neural network; Noise cancellation; Signal processing algorithms; Speech processing;
Journal_Title :
Signal Processing, IEEE Transactions on
