NDLI: A neural predictor for blind equalization of digital communication systems

Content Provider	IEEE Xplore Digital Library
Author	Cavalcante, C.C. Montalvao F, J.R. Dorizzi, B. Mota, J.C.M.
Copyright Year	2000
Description	Author affiliation: Univ. Fed. do Ceara, Fortaleza, Brazil (Cavalcante, C.C.)
Abstract	In digital channel equalization, self-learning techniques are used in the cases where a training period is not available. Considering the transmitted sequence as composed of independent random variables, the equalization task can be done by means of prediction. In this work we propose to use artificial neural networks (ANN), instead of a linear prediction device, in order to obtain a better performance. Prediction concepts are revisited and a new self-organized algorithm is proposed to update the first layer in the nonlinear predictor whose aim is to avoid local minimum points in the applied cost function. The second layer is updated by using a classical supervised algorithm. Simulation results are presented which illustrate the performance of this technique.
Starting Page	347
Ending Page	351
File Size	420636
Page Count	5
File Format	PDF
ISBN	0780358007
DOI	10.1109/ASSPCC.2000.882498
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-10-04
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Blind equalizers Noise figure Filters Neural networks Artificial neural networks Delay estimation Digital communication Cost function Random variables Digital TV
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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