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THE DATA COMPRESSION BOOK SECOND EDITION (Anglais) Broché – 30 novembre 1995


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This book has soft covers.Ex-library,With usual stamps and markings,In fair condition, suitable as a study copy.


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The primary purpose of this book is to explain various data-compression techniques using the C programming language. Lire la première page
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Couverture | Copyright | Table des matières | Extrait | Index | Quatrième de couverture
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41 internautes sur 44 ont trouvé ce commentaire utile 
a book which has its positive and negative sides... 19 juin 2000
Par +++ - Publié sur Amazon.com
Format: Broché
PROs: 1. It is one of very few books on data compression available on the market. 2. Description of the IDEAS of compression techniques is very well written. 3. The books comes with the C code for most algorithms. 4. Fairly wide scope of data compression techniques is presented.
CONs: 1. Possibly for copyright reasons, the formats of commonly used file formats are not disclosed; the enclosed propgrams are generic compression algorithms, which do not create (or open) actual .ZIP, .ARC, or .JPG files, which can be opened by commercial programs. Therefore, this book will not help you to open standard compressed files from your home-made programs. 2. There is a missing link between the well described ideas (general principles) of the compression techniques, and their actual algorithms presented as C programs - namely, the algorithms are not described verbally. You have to analyze typically 6-page-long programs to understand how the actual encoding is done. 3. Although there is a section on sound compression, the MP3 standard is not explained. The same applies to MPEG.
SUMMARY: Good to get a general idea how the data compression is performed. Helpful if you want to develop your own compressed data format. Of very limited help if you want to work with standard compressed files in your own program. Requires knowledge of C and some time to study the enclosed code.
18 internautes sur 21 ont trouvé ce commentaire utile 
The best book for programmers needing algorithms not theory. 1 septembre 1999
Par Un client - Publié sur Amazon.com
Format: Broché
This book did a better job than any other of teaching me sliding window dictionary encoding and adaptive huffman encoding. It got right to the point in an easy to understand fashon. There was no thick cloud of theory masking the information I needed. Read this book before you read others on the subject of data compression.
21 internautes sur 25 ont trouvé ce commentaire utile 
OK for implementors 25 août 2000
Par danny - Publié sur Amazon.com
Format: Broché
If you want to implement a compression scheme fast easily, or to have general knowledge about compression algorithms this is a very good book. If you really want to deeply understand compression algorithms, to have some kind of insight about them, and to know about the best algorithms available today - this book is has less benefit (understatement).
16 internautes sur 20 ont trouvé ce commentaire utile 
Too much about C programming, not enough about compression 15 juin 2000
Par Gretta Bartels - Publié sur Amazon.com
Format: Broché
This book's target audience is the novice C programmer who needs to implement data compression of some kind. The authors go to great pains to explain exactly how the code works, but they don't do as good a job on the algorithms themselves. If you are a competent C programmer and/or have any formal training in algorithms, this is probably not the book for you, though it may be a good jumping-off point if it's the only book you can get your hands on.
9 internautes sur 11 ont trouvé ce commentaire utile 
Very useful for the application-oriented 24 octobre 1998
Par Un client - Publié sur Amazon.com
Format: Broché
If your primary interest is in writing compression algorithms, this is the book you want. It does a fine job of explaining several different techniques, and shows you how to implement them.
It's light on the theory side, so if you're more interesting in the "why" than the "what", you may want to choose a different book. One exception to this is the explanation of arithmetic coding and statistical methods, which can actually be read and understood in one pass.
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