
Introduction to Data Compression (The Morgan Kaufmann Series in Multimedia Information and Systems)
Author: Khalid Sayood Ph.D.
Publisher: Morgan Kaufmann
Edition: 5th edition ()
Publication Date: 2017-11-06
Language: English
Paperback: 790 pages
ISBN-10: 0128094745
ISBN-13: 9780128094747
Book Description
Introduction to Data Compression, Fifth Edition, builds on the success of what is widely considered the best introduction and reference text on the art and science of data compression.
Data compression techniques and technology are ever-evolving with new applications in image, speech, text, audio and video. This new edition includes all the latest developments in the field.
Khalid Sayood provides an extensive introduction to the theory underlying today’s compression techniques, with detailed instruction for their applications using several examples to explain the concepts. Encompassing the entire field of data compression, the book includes lossless and lossy compression, Huffman coding, arithmetic coding, dictionary techniques, context based compression, and scalar and vector quantization.
The book provides a comprehensive working knowledge of data compression, giving the reader the tools to develop a complete and concise compression package.
- Explains established and emerging standards in- depth, including JPEG 2000, JPEG-LS, MPEG-2, H.264, JBIG 2, ADPCM, LPC, CELP, MELP, iLBC and the new HEVC standard
- Includes more coverage of lattices in vector quantization
- Contains improved and expanded end-of-chapter problems
- Source code is provided via a companion website that gives readers the opportunity to build their own algorithms and choose and implement techniques in their own applications
Review
The most comprehensive, up-to-date introduction to data compression available
About the Author
Khalid Sayood received his BS and MS in Electrical Engineering from the University of Rochester in 1977 and 1979, respectively, and his Ph.D. in Electrical Engineering from Texas A&M University in 1982. In 1982, he joined the University of Nebraska, where he is the Heins Professor of Engineering. His research interests include data compression, joint source channel coding, and bioinformatics.
相关推荐
Programming Language Pragmatics 5th Edition
Mastering Secure Software: Practical strategies for architecture, risk, and implementation
Artificial Intelligence in e-Health Framework, Volume 1: AI, Classification, Wearable Devices, and Computer-Aided Diagnosis
Network Algorithmics: An Interdisciplinary Approach to Designing Fast Networked Devices
Human Magic: Leading with Wisdom in an Age of Algorithms
Machine Learning: From the Classics to Deep Networks, Transformers, and Diffusion Models, 3rd Edition
Algorithms to Live By: The Computer Science of Human Decisions
Digital Integrated Circuit Design Using Verilog and Systemverilog