Articles liés à Variable-length Codes for Data Compression
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Synopsis
Most data compression methods that are based on variable-length codes employ the Huffman or Golomb codes. However, there are a large number of less-known codes that have useful properties and these can be useful. This book brings this large set of codes to the attention of workers in the field and for students of computer science. The author's crystal clear style of writing and presentation allows easy access to the topic.
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Review
"...the greatest contribution of this book is that it brings together and describes such a large number of codes in a succinct manner. ...this book introduces the reader to many lesser-known codes, and conveys an appreciation for the wide variety of codes that exists. ...the author focuses on the principles underlying the codes ...the author includes many diagrams and examples to explain how the algorithms work. In summary, this is a great book for someone new to coding, as well as for someone who just wants to catch up on some of the more contemporary codes."
(W. Hu, ACM Computing Reviews, January 2009)
From the Back Cover
Most data compression methods that are based on variable-length codes employ the Huffman or Golomb codes. However, there are a large number of less-known codes that have useful properties - such as those containing certain bit patterns, or those that are robust - and these can be useful. This book brings this large set of codes to the attention of workers in the field and to students of computer science.
David Salomon’s clear style of writing and presentation, which has been familiar to readers for many years now, allows easy access to this topic. This comprehensive text offers readers a detailed, reader-friendly description of the variable length codes used in the field of data compression. Readers are only required to have a general familiarity with computer methods and essentially an understanding of the representation of data in bits and files.
Topics and Features:
· Discusses codes in-depth, not the compression algorithms, which are readily available in many books
· Includes detailed illustrations, providing readers with a deeper and broader understanding of the topic
· Provides a supplementary author-maintained website, with errata and auxiliary material – www.davidsalomon.name/VLCadvertis/VLC.html
· Easily understood and used by computer science majors requiring only a minimum of mathematics
· Can easily be used as a main or auxiliary textbook for courses on algebraic codes or data compression and protection
· An ideal companion volume to David Salomon’s fourth edition of Data Compression: The Complete Reference
Computer scientists, electrical engineers and students majoring in computer science or electrical engineering will find this volume a valuable resource, as will those readers in various physical sciences and mathematics.
David Salomon is a professor emeritus of Computer Science at California State University, Northridge. He has authored numerous articles and books, including Coding for Data and Computer Communications, Guide to Data Compression Methods, Data Privacy and Security, Computer Graphics and Geometric Modeling, Foundations of Computer Security, and Transformations and Projections in Computer Graphics.
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