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The Data Compression Book Mark Nelson
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Data Compression The Complete Reference 4th Edition (2007)
A wonderful treasure chest of information; spanning a wide range of data compression methods, from simple test compression methods to the use of wavelets in image compression. It is unusual for a text on compression to cover the field so completely." � ACM Computing Reviews "Salomon�s book is the most complete and up-to-date reference on the subject. The style, rigorous yet easy to read, makes this book the preferred choice � [and] the encyclopedic nature of the text makes it an obligatory acquisition by our library." � Dr Martin Cohn, Brandeis University Data compression is one of the most important tools in modern computing, and there has been tremendous progress in all areas of the field. This fourth edition of Data Compression provides an all-inclusive, thoroughly updated, and user-friendly reference for the many different types and methods of compression (especially audio compression, an area in which many new topics covered in this revised edition appear). Among the important features of the book are a detailed and helpful taxonomy, a detailed description of the most common methods, and discussions on the use and comparative benefits of different methods. The book�s logical, clear and lively presentation is organized around the main branches of data compression. Topics and features: �highly inclusive, yet well-balanced coverage for specialists and nonspecialists �thorough coverage of wavelets methods, including SPIHT, EZW, DjVu, WSQ, and JPEG 2000 �comprehensive updates on all material from previous editions And these NEW topics: �RAR, a proprietary algorithm �FLAC, a free, lossless audio compression method �WavPack, an open, multiplatform audio-compression algorithm �LZMA, a sophisticated dictionary-based compression method �Differential compression �ALS, the audio lossless coding algorithm used in MPEG-4 �H.264, an advanced video codec, part of the huge MPEG-4 project �AC-3, Dolby's third-generation audio codec �Hyperspectral compression of 3D data sets This meticulously enhanced reference is an essential resource and companion for all computer scientists; computer, electrical and signal/image processing engineers; and scientists needing a comprehensive compilation of compression methods. It requires only a minimum of mathematics and is well-suited to nonspecialists and general readers who need to know and use this valuable content. 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.
Introduction to Data Compression, Third Edition
Review The need to efficiently store, manipulate, and transmit large masses of information is growing more rapidly than the capacity of systems to handle it. Engineers and computer scientists need a solid understanding of compression in order to work with the burgeoning variety of data types and increasingly data-intensive applications. This uniquely comprehensive book explains the fundamental theories and techniques of data compression, with the most complete coverage available of both lossy and lossless methods. Rather than simply describing current approaches, Sayood explains the theoretical underpinnings of the algorithms so that readers learn how to model structures in data and design compression packages of their own. Practitioners, researchers, and students will benefit from the balanced presentation of theoretical material and implementations.
Features: * Covers both lossy and lossless compression techniques with applications to image, speech, text, audio, and video compression. * Official compression standards for video, audio, text, and facsimile are discussed in order to illustrate the techniques: includes JPEG, MPEG, G.728, H.261, and Group 3 and 4 fax standards. * Detailed examples follow each new concept or algorithm. * Software implementations and sample data sets are available, allowing readers to work through the examples in the book and to experiment with various compression techniques on their own. * Optional starred sections provide enhanced technical or theoretical discussions. * Appendices on probability theory, random processes, and matrix concepts are included for reference.
Handbook of Data Compression
Data compression is one of the most important fields and tools in modern computing. From archiving data, to CD-ROMs, and from coding theory to image analysis, many facets of modern computing rely upon data compression. This book provides a comprehensive reference for the many different types and methods of compression. Included are a detailed and helpful taxonomy, analysis of most common methods, and discussions on the use and comparative benefits of methods and description of "how to" use them. Detailed descriptions and explanations of the most well-known and frequently used compression methods are covered in a self-contained fashion, with an accessible style and technical level for specialists and non-specialists.
Data Compression for Real Programmers
In life, time is money, and on the Internet, the size of data is money. Small programs and small files take less disk space and cost less to send over the Internet. Compression Algorithms for Real Programmers describes the basic algorithms and approaches for compressing information so you can create the smallest files possible. These new algorithms are making it possible for people to take impossibly large audio and video files and compress them enough that they can flow over the Internet.
Biographies in Data Compression
Biographies in Data Compression
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