Title :
Adaptive receivers for removing linear and nonlinear intersymbol interference by mean of time delay neural nets (AR-TDNN)
Author :
Garcia-Gómez, R. ; Gómez-Mena, J. ; Río, L. Diez del
Author_Institution :
Dept. de Senales, Sistemas y Radiocomunicaciones, Univ. Politecnica de Madrid, Spain
Abstract :
A review is presented of several classical equalizers for data transmission, showing that they are special cases of a general time-delay neural net (TDNN). It is shown that the solution to the deconvolution problem for many transmission channel types, including linear and nonlinear distortions, can be solved by means of TDNN. Alternatively, TDNN can be seen as a generalization of currently used equalizers and as tools for discovering new ones
Keywords :
filtering and prediction theory; interference suppression; intersymbol interference; neural nets; telecommunication channels; adaptive receivers; data transmission; deconvolution; equalizers; intersymbol interference; telecommunication channels; time delay neural nets; transmission channel; Data communication; Delay effects; Equalizers; Intersymbol interference; Neural networks; Noise cancellation; Noise generators; Noise level; Nonlinear distortion; Nonlinear filters;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
Conference_Location :
Glasgow
DOI :
10.1109/ICASSP.1989.266943
