Paper
8 December 1995 Equalization of magnetic recording signals using artificial neural networks
Aida Ibrahim, Fatih Sarigoz, Bhagavatula Vijaya Kumar
Author Affiliations +
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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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KEYWORDS
Magnetism

Neural networks

Artificial neural networks

Signal to noise ratio

Statistical modeling

Binary data

Data storage

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