A Concise Introduction to Data Compression

A Concise Introduction to Data Compression

Einband:
Kartonierter Einband
EAN:
9781848000711
Untertitel:
Incl Online-Update, Undergraduate Topics in Computer Science
Genre:
Informatik
Autor:
David Salomon
Herausgeber:
Springer London
Auflage:
2008
Anzahl Seiten:
328
Erscheinungsdatum:
10.03.2008
ISBN:
1848000715

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.


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. 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 discovers essential concepts, such as variable-length and prefix codes, statistical distribution and run-length codes. Part II concentrates on advanced techniques, such as arithmetic coding, orthogonal transforms, subband transforms and Burrows-Wheeler transform. Complete and clear, this book will be 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.

The author is experienced and has authored the very successful Data Compression: The Complete Guide, Fourth Edition Clear, reader-friendly style The required level of mathematics is minimal Specifically written for undergraduates, to cover foundations of Data Compression An author-maintained website, containing errata and auxiliary material complements the book Includes supplementary material: sn.pub/extras

Inhalt
Basic Concepts.- Approaches to Compression.- Huffman Coding.- Dictionary Methods.- Advanced Techniques.- Arithmetic Coding.- Image Compression.- Audio Compression.- Other Methods.


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