Two-Dimensional Information Theory and Coding

Jørn Justesen

ISBN 10: 0521888603 / ISBN 13: 9780521888608

Published by Cambridge University Press, 2009

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This complete introduction to two-dimensional (2-D) information theory and coding provides the key techniques for modeling data and estimating their information content. Throughout, special emphasis is placed on applications to transmission, storage, compression, and error protection of graphic information. The book begins with a self-contained introduction to information theory, including concepts of entropy and channel capacity, which requires minimal mathematical background knowledge. It then introduces error-correcting codes, particularly Reed-Solomon codes, the basic methods for error-correction, and codes applicable to data organized in 2-D arrays. Common techniques for data compression, including compression of 2-D data based on application of the basic source coding, are also covered, together with an advanced chapter dedicated to 2-D constrained coding for storage applications. Numerous worked examples illustrate the theory, whilst end-of-chapter exercises test the reader's understanding, making this an ideal book for graduate students and also for practitioners in the telecommunications and data storage industries.

Seller Inventory # 9780521888608

Bibliographic Details

• Title: Two-Dimensional Information Theory and Coding
• Publisher: Cambridge University Press
• Publication Date: 2009
• Language: English
• ISBN 10: 0521888603
• ISBN 13: 9780521888608
• Binding: Buch
• Condition: Neu
• Dimensions: 250W x 175H x 15D millimeters 250 millimeters width by 175 millimeters height by 15 millimeters depth
• Weight: 507 grams

About this title

Synopsis

This complete introduction to two-dimensional (2-D) information theory and coding provides the key techniques for modeling data and estimating their information content. Throughout, special emphasis is placed on applications to transmission, storage, compression, and error protection of graphic information. The book begins with a self-contained introduction to information theory, including concepts of entropy and channel capacity, which requires minimal mathematical background knowledge. It then introduces error-correcting codes, particularly Reed-Solomon codes, the basic methods for error-correction, and codes applicable to data organized in 2-D arrays. Common techniques for data compression, including compression of 2-D data based on application of the basic source coding, are also covered, together with an advanced chapter dedicated to 2-D constrained coding for storage applications. Numerous worked examples illustrate the theory, whilst end-of-chapter exercises test the reader’s understanding, making this an ideal book for graduate students and also for practitioners in the telecommunications and data storage industries.

About the Authors

Jørn Justesen is a Professor in the Department of Photonics Engineering at the Technical University of Denmark (DTU); a position he has held since 1976. He has previously held visiting positions at the Institute for Information Transmission Problems, Moscow, and the University of Maryland, College Park.

Søren Forchhammer is an Associate Professor in the Department of Photonics Engineering at DTU. He has previously held visiting positions at IBM Almaden Research Center, California, and McMaster University, Ontario.