- Gebundene Ausgabe: 740 Seiten
- Verlag: Morgan Kaufmann Publishers In; Auflage: 4 (15. Oktober 2012)
- Sprache: Englisch
- ISBN-10: 0124157963
- ISBN-13: 978-0124157965
- Größe und/oder Gewicht: 19,7 x 5,1 x 24,1 cm
- Durchschnittliche Kundenbewertung: 1 Kundenrezension
- Amazon Bestseller-Rang: Nr. 390.401 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)
- Komplettes Inhaltsverzeichnis ansehen
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Introduction to Data Compression (Morgan Kaufmann Series in Multimedia Information and Systems) (Englisch) Gebundene Ausgabe – 15. Oktober 2012
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This text is a truly introductory treatment of the entire field of data compression, including lossless coding, speech coding, and audio coding, which are often neglected in other data compression books. Sayood's book has the very best tutorial treatment of lossless source coding anywhere, with detailed coverage of Lempel-Ziv, arithmetic, Golumb, and Tunstall coding, in addition to treatments of fixed and adaptive Huffman coding and context-based methods. Additionally, the book contains material on M-band quadrature mirror filter banks, the polyphase decomposition, and wavelets beyond what is normally found in any introductory text. I have used Sayood's book for a reference and as a text for a course on signal compression. I highly recommend it for adoption.
-Jerry D. Gibson, Professor of Electrical and Computer Engineering, University of California, Santa Barbara
Khalid Sayood's book has long been the standard academic reference for those interested in Data Compression. I am very pleased to see his ongoing effort to keep the content timely with the release of the fourth edition this fall. If you want to be well versed in state of the art, ranging from simple lossless coding up to complex video compression, this is the only book I know that will stay with you on every step of the journey.
-Mark Nelson, Engineer at Cisco Systems, Inc and Senior Member of IEEE
Über den Autor und weitere Mitwirkende
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.
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Helped me a lot in my academic coursework.
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The index is pretty good and the pages aren't glossy, which are nice to see in this day and age as well.
As to the target audience for this book, if you are tasked with designing hardware or software implementations of data compression algorithms and you have some background in either electrical engineering or computer science, then this is a good book from which to learn and then to practice what you learn via some very good exercises. Some prior knowledge of information theory and random processes wouldn't hurt either. There is also an abundance of examples that are sprinkled throughout the book to illustrate concepts as they are presented. The author's approach in each chapter is to explain each concept in as an accessible manor as possible, present relevant equations, and then work an example using what has just been presented.
The book presents the mathematical preliminaries in chapter 2, and chapters 3 and 4 are dedicated to coding algorithms which include Huffman coding, arithmetic coding, Golumb-Rice codes, and Tunstall codes. Chapters 5 and 6 describe many of the popular lossless compression methods and their applications. These methods include LZW, BWT, and DMC. Chapter 7 describes various lossless image compression algorithms such as JBIG as well as their applications. Chapter 8 discusses the mathematical background of lossy compression standards. Chapters 9 and 10 concentrate on quantization since it is the basis of most lossy compression schemes. Chapter 11 discusses differential encoding techniques such as DPCM and delta modulation. Included is a discussion of the CCITT G.726 standard.
Chapter 12 is the third and final chapter dedicated to mathematical foundations. It is meant to prepare the reader for the chapters on transform, subband, and wavelet based methods that encompass the following three chapters. The JPEG standard is covered in chapter 13, the CCITT G.722 standard in chapter 14, and the EZW, SPIHT, and JPEG2000 standards are covered in chapter 15. Chapter 16 focuses on audio compression and includes descriptions of the various MPEG audio compression schemes including mp3. Chapter 17 switches gears somewhat and covers techniques in which the data to be compressed is analyzed and a model is produced. This model is then used to synthesize the data and is quite useful in speech compression. Chapter 18 deals with video compression and diverges from the book's central theme of dealing with techniques rather than applications. The chapter discusses the H.261 standard as well as MPEG-1, MPEG-2, and MPEG-4 standards.
The website for the book, found at the publisher's site, contains a large number of C programs dealing with compression. I haven't tried to use any of these yet, so I can't speak to their validity.
But for developing your own code, you may need some additional books. For example, DSP using Matlab and wavelets should be a good one.
The book has clarity and is well written.
In the wavelet compression chapter there are few errors.
If you go through the derivations you can spot the errors
1) Equation 15.33 should be multiplied by -1.
2) Equation 15.53 should be c(j,k) = Sigma(h(l - 2k) * c(j + 1,l))