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Coding and Iterative Detection for Magnetic Recording Channels

✍ Scribed by Zining Wu (auth.)


Publisher
Springer US
Year
2000
Tongue
English
Leaves
164
Series
The Springer International Series in Engineering and Computer Science 531
Edition
1
Category
Library

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✦ Synopsis


The advent of the internet age has produced enormous demand for in­ creased storage capacity and for the consequent increases in the amount of information that can be stored in a small space. While physical and media improvements have driven the majority of improvement in modern storage systems, signal processing and coding methods have increasing­ ly been used to augment those improvements. Run-length-limited codes and partial-response detection methods have come to be the norm in an industry that once rejected any sophistication in the read or write pro­ cessing circuits. VLSI advances now enable increasingly sophisticated signal processing methods for negligible cost and complexity, a trend sure to continue even as disk access speeds progress to billions of bits per second and terabits per square inch in the new millennium of the in­ formation age. This new book representing the Ph. D. dissertation work of Stanford's recent graduate Dr. Zining Wu is an up-to-date and fo­ cused review of the area that should be of value to those just starting in this area and as well those with considerable expertise. The use of saturation recording, i. e. the mandated restriction of two-level inputs, creates interesting twists on the use of communica­ tion/transmission methods in recording.

✦ Table of Contents


Front Matter....Pages i-xx
Introduction to Magnetic Recording Channels....Pages 1-19
Turbo Codes and Turbo Equalization....Pages 21-46
Low-Density Parity-Check Codes....Pages 47-69
Turbo Decision Aided Equalization for Magnetic Recording Channels....Pages 71-102
Interleaved Parity Check Codes and Reduced Complexity Detection....Pages 103-117
Interpolated Timing Recovery....Pages 119-135
Summary and Discussion....Pages 137-139
Back Matter....Pages 141-152

✦ Subjects


Electrical Engineering; Signal, Image and Speech Processing


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