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Proceedings Paper

Equalization of magnetic recording signals using artificial neural networks
Author(s): Aida Ibrahim; Fatih Sarigoz; Bhagavatula Vijaya Kumar
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Paper Abstract

The increasing demand on storage density poses new challenges to the equalization and detection techniques. In this paper we investigate the application of artificial neural networks for equalization in magnetic recording channels. Two methods are explored: case (1) uses a neural network based equalizer to perform equalization/detection bit by bit by using multiple samples per bit and case (2) uses a tapped delay line (TDL) to feed several bits into the network.

Paper Details

Date Published: 8 December 1995
PDF: 7 pages
Proc. SPIE 2605, Coding and Signal Processing for Information Storage, (8 December 1995); doi: 10.1117/12.228244
Show Author Affiliations
Aida Ibrahim, Carnegie Mellon Univ. (United States)
Fatih Sarigoz, Carnegie Mellon Univ. (United States)
Bhagavatula Vijaya Kumar, Carnegie Mellon Univ. (United States)

Published in SPIE Proceedings Vol. 2605:
Coding and Signal Processing for Information Storage
Raghuveer M. Rao; Soheil A. Dianat; Steven W. McLaughlin; Martin Hassner, Editor(s)

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