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Intl. Ed.

A CONCISE INTRODUCTION TO DATA COMPRESSION (PB 2008)

Intl. Ed.

A CONCISE INTRODUCTION TO DATA COMPRESSION (PB 2008) Paperback - 2008

by SALOMON D

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USA Edition . New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Details

  • Title A CONCISE INTRODUCTION TO DATA COMPRESSION (PB 2008)
  • Author SALOMON D
  • Binding Paperback
  • Edition USA Edition
  • Condition New
  • Pages 314
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2008
  • Bookseller's Inventory # CBS 9781848000711
  • ISBN 9781848000711 / 1848000715
  • Weight 1.3 lbs (0.59 kg)
  • Dimensions 9.25 x 7.01 x 0.61 in (23.50 x 17.81 x 1.55 cm)
  • Category Computers - General Information
  • Dewey Decimal Code 005.746
  • Quantity available 51

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Reader reviews for A CONCISE INTRODUCTION TO DATA COMPRESSION (PB 2008)

From the publisher

Compression is an option naturally selected when faced with problems of high costs or restricted space. This book offers readers a succinct and reader-friendly foundation to the most important topics in the field of data compression. Complete and clear, it is the perfect reference for advanced undergraduates in computer science and requires a minimum of mathematics. An author-maintained website provides readers with errata and auxiliary material. Divided into two parts, Part I presents the basic approaches to data compression and describes a few popular techniques and methods that are commonly used to compress data. The reader will discover essential concepts. Part II concentrates on advanced techniques, such as arithmetic coding, orthogonal transforms, subband transforms and Burrows-Wheeler transform.

From the rear cover

Compressing data is an option naturally selected when faced with problems of high costs or restricted space. Written by a renowned expert in the field, this book offers readers a succinct, reader-friendly foundation to the chief approaches, methods and techniques currently employed in the field of data compression.

Part I presents the basic approaches to data compression and describes a few popular techniques and methods commonly used to compress data. The reader discovers essential concepts, such as variable-length and prefix codes, statistical distributions and run-length encoding. Part II then concentrates on advanced techniques, such as arithmetic coding, orthogonal transforms, subband transforms and the Burrows-Wheeler transform.

Features:

- Clear overview of the principles underlying this field

- Outlines the essentials of the various approaches to compressing data

- Contains many learning aids such as: chapter introductions and summaries, chapter-end exercises, comprehensive glossary, etc.

- Provides several examples of important compression algorithms

- Offers a supplementary author-maintained website, with errata and auxiliary material - www.davidsalomon.name/DCugAdvertis/DCug.html

- An ideal introductory volume to David Salomon's fourth edition of Data Compression: The Complete Reference

Complete and clear, this book is the perfect resource for undergraduates in computer science and requires a minimum of mathematics. It is also ideal for readers with a basic knowledge of computer science wanting to learn about data compression.

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 ofComputer Security, Transformations and Projections in Computer Graphics, and Variable-length Codes for Data Compression.

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