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Data Compression | Amrita Jyoti | 2nd Edition (2012) | S.K. Kataria & Sons (English Medium)
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207-265 |
[Shipping Cost = Standard Mode, Expedite Mode]
Data Compression | Amrita Jyoti | 2nd Edition (2012) | S.K. Kataria & Sons (English Medium)
Data Compression is a comprehensive guide that covers the fundamental concepts and techniques of data compression. Authored by Amrita Jyoti, this second edition published in 2012 by S.K. Kataria & Sons is designed to provide students and professionals with a thorough understanding of the principles and algorithms used in data compression. The book begins by introducing readers to the basics of data compression, including the need for compression, types of data compression, and various applications. It then delves into the different methods of lossless and lossy compression, explaining how these techniques work and their respective advantages and disadvantages. One of the key highlights of this book is its detailed coverage of popular compression algorithms such as Huffman coding, Run-Length Encoding (RLE), Lempel-Ziv-Welch (LZW) algorithm, Arithmetic coding, Burrows-Wheeler Transform (BWT), and more. The author provides step-by-step explanations of these algorithms along with examples to help readers grasp the concepts easily. In addition to algorithms, Data Compression also discusses important topics like image compression, audio compression, video compression, text compression, and multimedia compression. The book explores how these different types of data are compressed using specific techniques tailored to their characteristics. Furthermore, the second edition includes updated information on recent developments in data compression technology, making it a valuable resource for students pursuing courses in computer science or information technology. Professionals working in fields like data storage, multimedia systems, telecommunications, and networking will also find this book beneficial for enhancing their knowledge and skills in data compression. Overall, Data Compression is a must-have reference for anyone looking to deepen their understanding of data compression techniques and algorithms. With its clear explanations, practical examples, and comprehensive coverage of the subject matter, this book serves as an invaluable tool for both beginners and experienced professionals in the field.
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Data Compression is a comprehensive guide that covers the fundamental concepts and techniques of data compression. Authored by Amrita Jyoti, this second edition published in 2012 by S.K. Kataria & Sons is designed to provide students and professionals with a thorough understanding of the principles and algorithms used in data compression. The book begins by introducing readers to the basics of data compression, including the need for compression, types of data compression, and various applications. It then delves into the different methods of lossless and lossy compression, explaining how these techniques work and their respective advantages and disadvantages. One of the key highlights of this book is its detailed coverage of popular compression algorithms such as Huffman coding, Run-Length Encoding (RLE), Lempel-Ziv-Welch (LZW) algorithm, Arithmetic coding, Burrows-Wheeler Transform (BWT), and more. The author provides step-by-step explanations of these algorithms along with examples to help readers grasp the concepts easily. In addition to algorithms, Data Compression also discusses important topics like image compression, audio compression, video compression, text compression, and multimedia compression. The book explores how these different types of data are compressed using specific techniques tailored to their characteristics. Furthermore, the second edition includes updated information on recent developments in data compression technology, making it a valuable resource for students pursuing courses in computer science or information technology. Professionals working in fields like data storage, multimedia systems, telecommunications, and networking will also find this book beneficial for enhancing their knowledge and skills in data compression. Overall, Data Compression is a must-have reference for anyone looking to deepen their understanding of data compression techniques and algorithms. With its clear explanations, practical examples, and comprehensive coverage of the subject matter, this book serves as an invaluable tool for both beginners and experienced professionals in the field.
Search Keywords - Data Compression techniques, Lossless vs Lossy Compression, Huffman coding explained, Lempel-Ziv-Welch algorithm, Image Compression methods, Audio Compression standards, Video Compression techniques, Text Compression algorithms, Multimedia Compression tools, Data Compression applications, Best books on Data Compression, Data Storage optimization tips, Multimedia Systems efficiency, Telecommunications data management, Networking protocols for compression, Latest trends in Data Compression, Amrita Jyoti books on technology, S.K Kataria & Sons publications list, Computer Science textbooks on Data Compression, Data Compression resources for professionals
Product Details
SKU / BOOK Code: | SKKS-DC-AJ-2E-2012-(E) |
Publisher: | S.K. Kataria and Sons |
Author: | Amrita Jyoti |
Binding Type: | Paperback |
No. of Pages: | 275 |
ISBN-10: | 9350141752 |
ISBN-13: | 978-93-5014-175-5 |
Edition: | 2nd Edition |
Language: | English Medium |
Publish Year: | 2012-01 |
Weight (g): | 450 |
Product Condition: | New |
Reading Age: | Above 10 Years |
Country of Origin: | India |
Genre: | Textbooks & Study Guides |
Manufacturer: | S.K. Kataria and Sons |
Importer: | S.K. Kataria and Sons |
Packer: | Fullfilled by Supplier |
Product Description
Data Compression | Amrita Jyoti | 2nd Edition (2012) | S.K. Kataria & Sons (English Medium)
Data Compression is a comprehensive guide that covers the fundamental concepts and techniques of data compression. Authored by Amrita Jyoti, this second edition published in 2012 by S.K. Kataria & Sons is designed to provide students and professionals with a thorough understanding of the principles and algorithms used in data compression. The book begins by introducing readers to the basics of data compression, including the need for compression, types of data compression, and various applications. It then delves into the different methods of lossless and lossy compression, explaining how these techniques work and their respective advantages and disadvantages. One of the key highlights of this book is its detailed coverage of popular compression algorithms such as Huffman coding, Run-Length Encoding (RLE), Lempel-Ziv-Welch (LZW) algorithm, Arithmetic coding, Burrows-Wheeler Transform (BWT), and more. The author provides step-by-step explanations of these algorithms along with examples to help readers grasp the concepts easily. In addition to algorithms, Data Compression also discusses important topics like image compression, audio compression, video compression, text compression, and multimedia compression. The book explores how these different types of data are compressed using specific techniques tailored to their characteristics. Furthermore, the second edition includes updated information on recent developments in data compression technology, making it a valuable resource for students pursuing courses in computer science or information technology. Professionals working in fields like data storage, multimedia systems, telecommunications, and networking will also find this book beneficial for enhancing their knowledge and skills in data compression. Overall, Data Compression is a must-have reference for anyone looking to deepen their understanding of data compression techniques and algorithms. With its clear explanations, practical examples, and comprehensive coverage of the subject matter, this book serves as an invaluable tool for both beginners and experienced professionals in the field.
Search Keywords - Data Compression techniques, Lossless vs Lossy Compression, Huffman coding explained, Lempel-Ziv-Welch algorithm, Image Compression methods, Audio Compression standards, Video Compression techniques, Text Compression algorithms, Multimedia Compression tools, Data Compression applications, Best books on Data Compression, Data Storage optimization tips, Multimedia Systems efficiency, Telecommunications data management, Networking protocols for compression, Latest trends in Data Compression, Amrita Jyoti books on technology, S.K Kataria & Sons publications list, Computer Science textbooks on Data Compression, Data Compression resources for professionals
Data Compression is a comprehensive guide that covers the fundamental concepts and techniques of data compression. Authored by Amrita Jyoti, this second edition published in 2012 by S.K. Kataria & Sons is designed to provide students and professionals with a thorough understanding of the principles and algorithms used in data compression. The book begins by introducing readers to the basics of data compression, including the need for compression, types of data compression, and various applications. It then delves into the different methods of lossless and lossy compression, explaining how these techniques work and their respective advantages and disadvantages. One of the key highlights of this book is its detailed coverage of popular compression algorithms such as Huffman coding, Run-Length Encoding (RLE), Lempel-Ziv-Welch (LZW) algorithm, Arithmetic coding, Burrows-Wheeler Transform (BWT), and more. The author provides step-by-step explanations of these algorithms along with examples to help readers grasp the concepts easily. In addition to algorithms, Data Compression also discusses important topics like image compression, audio compression, video compression, text compression, and multimedia compression. The book explores how these different types of data are compressed using specific techniques tailored to their characteristics. Furthermore, the second edition includes updated information on recent developments in data compression technology, making it a valuable resource for students pursuing courses in computer science or information technology. Professionals working in fields like data storage, multimedia systems, telecommunications, and networking will also find this book beneficial for enhancing their knowledge and skills in data compression. Overall, Data Compression is a must-have reference for anyone looking to deepen their understanding of data compression techniques and algorithms. With its clear explanations, practical examples, and comprehensive coverage of the subject matter, this book serves as an invaluable tool for both beginners and experienced professionals in the field.
Search Keywords - Data Compression techniques, Lossless vs Lossy Compression, Huffman coding explained, Lempel-Ziv-Welch algorithm, Image Compression methods, Audio Compression standards, Video Compression techniques, Text Compression algorithms, Multimedia Compression tools, Data Compression applications, Best books on Data Compression, Data Storage optimization tips, Multimedia Systems efficiency, Telecommunications data management, Networking protocols for compression, Latest trends in Data Compression, Amrita Jyoti books on technology, S.K Kataria & Sons publications list, Computer Science textbooks on Data Compression, Data Compression resources for professionals
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