Title :
Neural equalization of communication channels
Author :
Rao, D.H. ; Nikiforuk, P.N. ; Gupta, M.M. ; Wood, H.C.
Author_Institution :
Coll. of Eng., Saskatchewan Univ., Saskatoon, Sask., Canada
fDate :
6/15/1905 12:00:00 AM
Abstract :
The authors describe the use of a dynamic model of the biological neuron called the dynamic neural unit (DNU) and examine briefly how it can be used in a channel equalization problem. The DNU, which comprises an infinite impulse response (IIR) structure followed by a nonlinear activation function, is used to obtain an inverse model of unknown channel dynamics. Once a unity mapping from output to input is achieved, the channel passes the source signal with almost no distortion to the receiver end. The DNU architecture and algorithm are described.
Keywords :
equalisers; filtering and prediction theory; neural nets; telecommunication channels; DNU architecture; IIR structure; algorithm; biological neuron; channel equalization; dynamic model; dynamic neural unit; infinite impulse response; inverse model; nonlinear activation function; Adaptive algorithm; Adaptive equalizers; Adaptive filters; Adaptive signal processing; Artificial neural networks; Communication channels; Distortion; Neurons; Noise cancellation; Nonlinear filters;
Conference_Titel :
WESCANEX 93. 'Communications, Computers and Power in the Modern Environment.' Conference Proceedings., IEEE
Conference_Location :
Saskatoon, Sask., Canada
Print_ISBN :
0-7803-1319-4
DOI :
10.1109/WESCAN.1993.270529
