Variable Length Codes For Data Compression
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Variable Length Codes For Data Compression
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Author : David Salomon
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-09-05
Variable Length Codes For Data Compression written by David Salomon and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09-05 with Computers categories.
Most data compression methods that are based on variable-length codes employ the Huffman or Golomb codes. However, there are a large number of less-known codes that have useful properties and these can be useful. This book brings this large set of codes to the attention of workers in the field and for students of computer science. The author’s crystal clear style of writing and presentation allows easy access to the topic.
A Concise Introduction To Data Compression
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Author : David Salomon
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-12-18
A Concise Introduction To Data Compression written by David Salomon and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-18 with Computers categories.
This clearly written book offers readers a succinct foundation to the most important topics in the field of data compression. Part I presents the basic approaches to data compression and describes a few popular techniques and methods that are commonly used to compress data. The reader will discover essential concepts. Part II concentrates on advanced techniques, such as arithmetic coding, orthogonal transforms, subband transforms and Burrows-Wheeler transform. This book is the perfect reference for advanced undergraduates in computer science and requires a minimum of mathematics. An author-maintained website provides errata and auxiliary material.
Data Compression
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Author : David Salomon
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-03-20
Data Compression written by David Salomon and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-03-20 with Computers categories.
This book provides a comprehensive reference for the many different types and methods of compression. Included are a detailed and helpful taxonomy, analysis of most common methods, and discussions on the use and comparative benefits of methods and description of "how to" use them. Detailed descriptions and explanations of the most well-known and frequently used compression methods are covered in a self-contained fashion, with an accessible style and technical level for specialists and nonspecialists. Comments and suggestions of many readers have been included as a benefit to future readers, and a website is maintained and updated by the author.
Handbook Of Data Compression
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Author : David Salomon
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-01-18
Handbook Of Data Compression written by David Salomon and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-01-18 with Computers categories.
Data compression is one of the most important fields and tools in modern computing. From archiving data, to CD-ROMs, and from coding theory to image analysis, many facets of modern computing rely upon data compression. This book provides a comprehensive reference for the many different types and methods of compression. Included are a detailed and helpful taxonomy, analysis of most common methods, and discussions on the use and comparative benefits of methods and description of "how to" use them. Detailed descriptions and explanations of the most well-known and frequently used compression methods are covered in a self-contained fashion, with an accessible style and technical level for specialists and non-specialists.
Data Compression
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Author : David Salomon
language : en
Publisher: Springer Science & Business Media
Release Date : 2004-02-26
Data Compression written by David Salomon and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-02-26 with Computers categories.
A comprehensive reference for the many different types and methods of compression, including a detailed and helpful taxonomy, an analysis of the most common methods, and discussions on their use and comparative benefits. The presentation is organized into the main branches of the field: run length encoding, statistical methods, dictionary-based methods, image compression, audio compression, and video compression. Detailed descriptions and explanations of the most well- known and frequently used methods are covered in a self-contained fashion, with an accessible style and technical level for specialists and nonspecialists. In short, the book provides an invaluable reference and guide for all computer scientists, computer engineers, electrical engineers, signal/image processing engineers and other scientists needing a comprehensive compilation for a broad range of compression methods.
Data Compression Using Error Correcting Codes
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Author : Javad Haghighat
language : en
Publisher:
Release Date : 2007
Data Compression Using Error Correcting Codes written by Javad Haghighat and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
Application of error correcting codes for data compression is first investigated by Shannon where he suggests that there is a duality between source coding and channel coding. This duality implies that good channel codes are likely to be good source codes (and vice versa). Recently the problem of source coding using channel codes is receiving increasing attention. The main application of this problem is when data are transmitted over noisy channels. Since standard data compression techniques are not designed for error correction, compressing data and transmitting over noisy channels may cause corruption of the whole compressed sequence. However, instead of employing standard compression techniques, like Huffman coding, one may compress data using error correcting codes that are suitable for both data compression and error correction purposes. Recently, turbo codes, repeat-accumulate codes, low density parity check codes, and fountain codes have been used as lossless source codes and have achieved compression rates very close to the source entropy. When a near-lossless compression is desired, i.e. a small level of distortion is acceptable, the source encoder generates fixed-length codewords and the encoding complexity is low. Theoretically, random codes could achieve near-lossless compression. In literature, this has been proved by presenting a random binning scheme. Practically, all powerful channel codes, e.g. turbo codes, can follow the same procedure as suggested in random binning and achieve compression rates close to the entropy. On the other hand, if a completely lossless compression is required, i.e. if the distortion must be forced to zero, the source encoding is a complicated iterative procedure that generates variable-length codewords to guarantee zero distortion. However, the large complexity of encoding imposes a large delay to the system. The iterative encoding procedure can be regarded as using a nested code where each codeword of a higher-rate code is formed by adding parities to a codeword of some lower-rate code. This iterative encoding is proposed for practical codes, e.g. turbo codes and low density parity check (LDPC) codes, in the literature. In contrast to near-lossless source coding, in the lossless case no random coding theory is available to support achievability of entropy and specify distribution of the compression rate. We have two main contributions in this thesis. Our first contribution is presenting a tree structured random binning scheme to prove that nested random codes asymptotically achieve the entropy. We derive the probability mass function of the compression rate and show how it varies when increasing the block length. We also consider a more practical tree structured random binning scheme, where parities are generated independently and randomly, but they are biased. Our second contribution is to decrease the delay in turbo source coding. We consider turbo codes for data compression and observe that existing schemes achieve low compression rates; but because of large block length and large number of iterations they impose a large delay to the system. To decrease this delay we look at the problem of source coding using short block length turbo codes. We show how to modify different components of the encoder to achieve low compression rates. Specifically we modify the parity interleaver and use rectangular puncturing arrays. We also replace a single turbo code by a library of turbo codes to further decrease the compression rate. Since the scheme is variable-length and also many codes are used, the codeword length along with the code index (index of the turbo code which is used for compression) are transmitted as an overhead. Transmission of this overhead increases the compression rate. We propose a detection method to detect this overhead from the codeword. Therefore, the overhead is no longer transmitted since it is detected from the codeword at the decoder. This detection method will reduce the compression rate for short block length systems but it becomes less attractive for large block length codes.
Fundamental Data Compression
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Author : Ida Mengyi Pu
language : en
Publisher: Butterworth-Heinemann
Release Date : 2005-11-03
Fundamental Data Compression written by Ida Mengyi Pu and has been published by Butterworth-Heinemann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-11-03 with Computers categories.
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
Understanding Compression
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Author : Colt McAnlis
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-07-13
Understanding Compression written by Colt McAnlis and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-13 with Computers categories.
If you want to attract and retain users in the booming mobile services market, you need a quick-loading app that won’t churn through their data plans. The key is to compress multimedia and other data into smaller files, but finding the right method is tricky. This witty book helps you understand how data compression algorithms work—in theory and practice—so you can choose the best solution among all the available compression tools. With tables, diagrams, games, and as little math as possible, authors Colt McAnlis and Aleks Haecky neatly explain the fundamentals. Learn how compressed files are better, cheaper, and faster to distribute and consume, and how they’ll give you a competitive edge. Learn why compression has become crucial as data production continues to skyrocket Know your data, circumstances, and algorithm options when choosing compression tools Explore variable-length codes, statistical compression, arithmetic numerical coding, dictionary encodings, and context modeling Examine tradeoffs between file size and quality when choosing image compressors Learn ways to compress client- and server-generated data objects Meet the inventors and visionaries who created data compression algorithms
A Practitioner S Guide To Data Compression
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Author : Dennis G. Severance
language : en
Publisher:
Release Date : 1981
A Practitioner S Guide To Data Compression written by Dennis G. Severance and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with categories.
Data Compression The Complete Reference 3e
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Author : Salomon
language : en
Publisher:
Release Date : 2005-01-01
Data Compression The Complete Reference 3e written by Salomon and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-01-01 with categories.