Fundamental data compression

Fundamental Data Compression provides all the information students need to be able to use this essential technology in their future careers. A huge, active research field, and a part of many people's everyday lives, compression technology is an essential part of today's Computer Science an...

Πλήρης περιγραφή

Κύριος συγγραφέας: Pu, Ida Mengyi.
Μορφή: Ηλεκτρονική πηγή
Γλώσσα: English
Στοιχεία έκδοσης: Oxford ; Burlington, MA : Butterworth-Heinemann, 2006.
Θέματα:
Διαθέσιμο Online: http://www.sciencedirect.com/science/book/9780750663106
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100 1 |a Pu, Ida Mengyi. 
245 1 0 |a Fundamental data compression  |h [electronic resource] /  |c Ida Mengyi Pu. 
260 |a Oxford ;  |a Burlington, MA :  |b Butterworth-Heinemann,  |c 2006. 
300 |a 1 online resource (xxi, 246 p.) :  |b ill. 
504 |a Includes bibliographical references and index. 
505 0 |a Coding symbolic data -- Run-length algorithms -- Huffman coding -- Adaptive Huffman coding -- Arithmetic coding -- Dictionary-based compression -- Prediction and transforms -- Audio compression -- Image compression -- Video compression. 
520 |a Fundamental Data Compression provides all the information students need to be able to use this essential technology in their future careers. A huge, active research field, and a part of many people's everyday lives, compression technology is an essential part of today's Computer Science and Electronic Engineering courses. With the help of this book, students can gain a thorough understanding of the underlying theory and algorithms, as well as specific techniques used in a range of scenarios, including the application of compression techniques to text, still images, video and audio. Practical exercises, projects and exam questions reinforce learning, along with suggestions for further reading. * Dedicated data compression textbook for use on undergraduate courses * Provides essential knowledge for today's web/multimedia applications * Accessible, well structured text backed up by extensive exercises and sample exam questions. 
650 4 |a Data compression (Computer Science). 
650 4 |a Algorithms. 
650 4 |a Computer algorithms. 
655 4 |a Electronic books. 
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