Equalization of magnetic recording signals using artificial neural networks

Aida Ibrahim; Fatih Sarigoz; Bhagavatula Vijaya Kumar

doi:10.1117/12.228244

8 December 1995 Equalization of magnetic recording signals using artificial neural networks

Aida Ibrahim, Fatih Sarigoz, Bhagavatula Vijaya Kumar

Proceedings Volume 2605, Coding and Signal Processing for Information Storage; (1995) https://doi.org/10.1117/12.228244
Event: Photonics East '95, 1995, Philadelphia, PA, United States

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.

Citation Download Citation

Aida Ibrahim, Fatih Sarigoz, and Bhagavatula Vijaya Kumar "Equalization of magnetic recording signals using artificial neural networks", Proc. SPIE 2605, Coding and Signal Processing for Information Storage, (8 December 1995); https://doi.org/10.1117/12.228244

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