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Data Compression

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Data Compression

Book Details:
• Author: Amrita Jyoti
• Publisher: S.K. Kataria & Sons
• Edition: 2012
• Language: English
• Number of Pages: 275
• Binding: Paperback
• Release Date: 01 January 2012
• ISBN: 9789350141755

Description:
This book is a comprehensive guide to data compression techniques and multimedia coding, specially designed for computer science, information technology, and electronics students. Written by Amrita Jyoti, the book explains the principles of lossless and lossy compression methods in a clear and systematic manner.

The book covers important topics including Huffman coding, arithmetic coding, dictionary techniques, context-based compression, lossless image compression, scalar quantization, vector quantization, speech compression, and video compression. It also includes mathematical preliminaries, glossary, model question papers, and previous years’ question papers for academic preparation and better understanding of compression algorithms.

With well-organized content and easy-to-understand explanations, this book serves as an excellent academic and reference resource for university studies, technical learning, multimedia systems education, and competitive examinations related to data compression and digital communication systems.

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Data Compression

$2.86

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Description

Book Details:
• Author: Amrita Jyoti
• Publisher: S.K. Kataria & Sons
• Edition: 2012
• Language: English
• Number of Pages: 275
• Binding: Paperback
• Release Date: 01 January 2012
• ISBN: 9789350141755

Description:
This book is a comprehensive guide to data compression techniques and multimedia coding, specially designed for computer science, information technology, and electronics students. Written by Amrita Jyoti, the book explains the principles of lossless and lossy compression methods in a clear and systematic manner.

The book covers important topics including Huffman coding, arithmetic coding, dictionary techniques, context-based compression, lossless image compression, scalar quantization, vector quantization, speech compression, and video compression. It also includes mathematical preliminaries, glossary, model question papers, and previous years’ question papers for academic preparation and better understanding of compression algorithms.

With well-organized content and easy-to-understand explanations, this book serves as an excellent academic and reference resource for university studies, technical learning, multimedia systems education, and competitive examinations related to data compression and digital communication systems.

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