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Advances in Information Recording
Edited by: Paul H. Siegel, University of California, San Diego, La Jolla, CA, Emina Soljanin and Adriaan J. van Wijngaarden, Bell Laboratories, Murray Hill, NJ, and Bane Vasić, University of Arizona, Tucson, AZ
A co-publication of the AMS and DIMACS.
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DIMACS: Series in Discrete Mathematics and Theoretical Computer Science
2008; 165 pp; hardcover
Volume: 73
ISBN-10: 0-8218-3752-4
ISBN-13: 978-0-8218-3752-8
List Price: US$81
Member Price: US$64.80
Order Code: DIMACS/73
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This book comprises a collection of articles stemming from a DIMACS Working Group and DIMACS Workshop on Theoretical Advances in Information Recording held at Rutgers University, Piscataway, NJ. Written by leading researchers in information theory and data storage technology, the articles address problems related to the efficient and reliable storage of information in devices based upon novel optical, magnetic, and biological recording mechanisms.

The primary focus of the articles is on signal processing and coding techniques applicable to exploratory technologies being considered for future generations of storage devices, including two-dimensional optical storage (TwoDOS), heat-assisted magnetic recording (HAMR), and volumetric macro-molecular data storage. Specific topics addressed include channel equalization, timing recovery, data detection, modulation coding, and error control coding. Several articles explore the emerging connections between data storage, information theory, and the storage and processing of genetic information in living cells. Articles in the volume also illustrate the broader applicability of fundamental advances in information theory that have arisen in the context of information storage technology.

The volume is suitable for graduate students and research scientists interested in applications of information theory, communication theory, and coding theory to man-made and natural data storage systems.

Co-published with the Center for Discrete Mathematics and Theoretical Computer Science beginning with Volume 8. Volumes 1-7 were co-published with the Association for Computer Machinery (ACM).

Readership

Graduate students and research mathematicians interested in mathematical problems of information theory and data storage.

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