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Redundancy Of Lossless Data Compression For Known Sources By Analytic Methods
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Book Synopsis Redundancy of Lossless Data Compression for Known Sources by Analytic Methods by : Michael Drmota
Download or read book Redundancy of Lossless Data Compression for Known Sources by Analytic Methods written by Michael Drmota and published by . This book was released on 2017 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lossless data compression is a facet of source coding and a well studied problem of information theory. Its goal is to find a shortest possible code that can be unambiguously recovered. Here, we focus on rigorous analysis of code redundancy for known sources. The redundancy rate problem determines by how much the actual code length exceeds the optimal code length. We present precise analyses of three types of lossless data compression schemes, namely fixed-to-variable (FV) length codes, variable-to-fixed (VF) length codes, and variable to- variable (VV) length codes. In particular, we investigate the average redundancy of Shannon, Huffman, Tunstall, Khodak and Boncelet codes. These codes have succinct representations as trees, either as coding or parsing trees, and we analyze here some of their parameters (e.g., the average path from the root to a leaf). Such trees are precisely analyzed by analytic methods, known also as analytic combinatorics, in which complex analysis plays decisive role. These tools include generating functions, Mellin transform, Fourier series, saddle point method, analytic poissonization and depoissonization, Tauberian theorems, and singularity analysis. The term analytic information theory has been coined to describe problems of information theory studied by analytic tools. This approach lies on the crossroad of information theory, analysis of algorithms, and combinatorics.
Book Synopsis Handbook of Data Compression by : David Salomon
Download or read book Handbook of Data Compression written by David Salomon and published by Springer Science & Business Media. This book was released on 2010-01-18 with total page 1370 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Analytic Information Theory by : Michael Drmota
Download or read book Analytic Information Theory written by Michael Drmota and published by Cambridge University Press. This book was released on 2023-08-31 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explores problems of information and learning theory, using tools from analytic combinatorics to analyze precise behavior of source codes.
Book Synopsis The Data Compression Book by : Mark Nelson
Download or read book The Data Compression Book written by Mark Nelson and published by . This book was released on 2008 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Described by Jeff Prosise of PC Magazine as one of my favorite books on applied computer technology, this updated second edition brings you fully up-to-date on the latest developments in the data compression field. It thoroughly covers the various data compression techniques including compression of binary programs, data, sound, and graphics. Each technique is illustrated with a completely functional C program that demonstrates how data compression works and how it can be readily incorporated into your own compression programs. The accompanying disk contains the code files that demonstrate the various techniques of data compression found in the book.
Book Synopsis Data Deduplication by : Kevin Roebuck
Download or read book Data Deduplication written by Kevin Roebuck and published by Tebbo. This book was released on 2011 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data deduplication is a specialized data compression technique for eliminating coarse-grained redundant data, typically to improve storage utilization. In the deduplication process, duplicate data is deleted, leaving only one copy of the data to be stored, along with references to the unique copy of data. Deduplication is able to reduce the required storage capacity since only the unique data is stored. Depending on the type of deduplication, redundant files may be reduced, or even portions of files or other data that are similar can also be removed. As a simple example of file based deduplication, a typical email system might contain 100 instances of the same one megabyte (MB) file attachment. If the email platform is backed up or archived, all 100 instances are saved, requiring 100 MB storage space. With data deduplication, only one instance of the attachment is actually stored; each subsequent instance is just referenced back to the one saved copy. In this example, the deduplication ratio is roughly 100 to 1. Different applications and data types naturally have different levels of data redundancy. Backup applications generally benefit the most from de-duplication due to the nature of repeated full backups of an existing file system. Like a traditional stream-based dictionary coder, deduplication identifies identical sections of data and replaces them by references to a single copy of the data. However, whereas standard file compression tools like LZ77 and LZ78 identify short repeated substrings inside single files, the focus of data deduplication is to take a very large volume of data and identify large sections - such as entire files or large sections of files - that are identical, and store only one copy of it. This copy may be additionally compressed by single-file compression techniques. This book is your ultimate resource for Data Deduplication. Here you will find the most up-to-date information, analysis, background and everything you need to know. In easy to read chapters, with extensive references and links to get you to know all there is to know about Data Deduplication right away, covering: Data deduplication, Data compression, Adaptive compression, Audio compression (data), Binary Ordered Compression for Unicode, Bitrate peeling, Bitstream format, Calgary Challenge, Calgary Corpus, Canterbury Corpus, CMX (file format), Compressed pattern matching, Compression artifact, Context mixing, Data compaction, Data compression ratio, Data compression symmetry, Double Tools for DoubleSpace, DriveSpace, Dyadic distribution, Error exponent, Generation loss, Grammar-based code, Hutter Prize, Image compression, Krichevsky-Trofimov estimator, Lossless compression benchmarks, Lossless data compression, Lossy compression, Lossy data conversion, LZX (algorithm), Matt Mahoney, Mode Z compression, Modulo-N code, Move-to-front transform, Ocarina Networks, Precompressor, Prefix code, Progressive Graphics File, QDX, Rate-distortion theory, Recursive indexing, Robust Header Compression, Sardinas-Patterson algorithm, Self-extracting archive, Set partitioning in hierarchical trees, Shannon's source coding theorem, Signaling Compression, Silence compression, Jan Sloot, Smart Bitrate Control, Smart Data Compression, Solid compression, Sub-band coding, Time-domain harmonic scaling, Transparency (data compression), Transparency threshold, Trellis quantization, Twin vector quantization, Ultra Low Delay Audio Coder, Unary coding, Universal code (data compression), Van Jacobson TCP/IP Header Compression, Video compression, Volume (compression), White noise, WinZip, ZeoSync, Zoo (file format) This book explains in-depth the real drivers and workings of Data Deduplication. It reduces the risk of your technology, time and resources investment decisions by enabling you to compare your understanding of Data Deduplication with the objectivity of experienced professionals.
Book Synopsis Three-Dimensional Model Analysis and Processing by : Faxin Yu
Download or read book Three-Dimensional Model Analysis and Processing written by Faxin Yu and published by Springer Science & Business Media. This book was released on 2011-02-03 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the increasing popularization of the Internet, together with the rapid development of 3D scanning technologies and modeling tools, 3D model databases have become more and more common in fields such as biology, chemistry, archaeology and geography. People can distribute their own 3D works over the Internet, search and download 3D model data, and also carry out electronic trade over the Internet. However, some serious issues are related to this as follows: (1) How to efficiently transmit and store huge 3D model data with limited bandwidth and storage capacity; (2) How to prevent 3D works from being pirated and tampered with; (3) How to search for the desired 3D models in huge multimedia databases. This book is devoted to partially solving the above issues. Compression is useful because it helps reduce the consumption of expensive resources, such as hard disk space and transmission bandwidth. On the downside, compressed data must be decompressed to be used, and this extra processing may be detrimental to some applications. 3D polygonal mesh (with geometry, color, normal vector and texture coordinate information), as a common surface representation, is now heavily used in various multimedia applications such as computer games, animations and simulation applications. To maintain a convincing level of realism, many applications require highly detailed mesh models. However, such complex models demand broad network bandwidth and much storage capacity to transmit and store. To address these problems, 3D mesh compression is essential for reducing the size of 3D model representation.
Book Synopsis Discrete Algebraic Methods by : Volker Diekert
Download or read book Discrete Algebraic Methods written by Volker Diekert and published by Walter de Gruyter GmbH & Co KG. This book was released on 2016-05-24 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: The idea behind this book is to provide the mathematical foundations for assessing modern developments in the Information Age. It deepens and complements the basic concepts, but it also considers instructive and more advanced topics. The treatise starts with a general chapter on algebraic structures; this part provides all the necessary knowledge for the rest of the book. The next chapter gives a concise overview of cryptography. Chapter 3 on number theoretic algorithms is important for developping cryptosystems, Chapter 4 presents the deterministic primality test of Agrawal, Kayal, and Saxena. The account to elliptic curves again focuses on cryptographic applications and algorithms. With combinatorics on words and automata theory, the reader is introduced to two areas of theoretical computer science where semigroups play a fundamental role.The last chapter is devoted to combinatorial group theory and its connections to automata. Contents: Algebraic structures Cryptography Number theoretic algorithms Polynomial time primality test Elliptic curves Combinatorics on words Automata Discrete infinite groups
Book Synopsis Design and Analysis of Lossless and Lossy Data Compression Methods and Applications to Communication and Caching - Final Report by :
Download or read book Design and Analysis of Lossless and Lossy Data Compression Methods and Applications to Communication and Caching - Final Report written by and published by . This book was released on 1997 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The work completed in the project dealt with the following areas of data compression and its applications: the design and analysis of sophisticated methods for prediction based on data compression techniques, with applications to prefetching, caching, and locality management. Fast, practical, and code-efficient implementations of arithmetic coding and other coding methods, for use in text and image compression. New methods for choosing motion vectors yielding substantially better rate-distortion tradeoffs for video compression in video-conferencing applications. Duke University recently filed a patent application for the work on prediction.
Book Synopsis Predictive Analytics For Dummies by : Anasse Bari
Download or read book Predictive Analytics For Dummies written by Anasse Bari and published by John Wiley & Sons. This book was released on 2016-09-16 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Use Big Data and technology to uncover real-world insights You don't need a time machine to predict the future. All it takes is a little knowledge and know-how, and Predictive Analytics For Dummies gets you there fast. With the help of this friendly guide, you'll discover the core of predictive analytics and get started putting it to use with readily available tools to collect and analyze data. In no time, you'll learn how to incorporate algorithms through data models, identify similarities and relationships in your data, and predict the future through data classification. Along the way, you'll develop a roadmap by preparing your data, creating goals, processing your data, and building a predictive model that will get you stakeholder buy-in. Big Data has taken the marketplace by storm, and companies are seeking qualified talent to quickly fill positions to analyze the massive amount of data that are being collected each day. If you want to get in on the action and either learn or deepen your understanding of how to use predictive analytics to find real relationships between what you know and what you want to know, everything you need is a page away! Offers common use cases to help you get started Covers details on modeling, k-means clustering, and more Includes information on structuring your data Provides tips on outlining business goals and approaches The future starts today with the help of Predictive Analytics For Dummies.
Book Synopsis Conference Record by : Johannes Huber (Prof. Dr.-Ing.)
Download or read book Conference Record written by Johannes Huber (Prof. Dr.-Ing.) and published by Margret Schneider. This book was released on 2004 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Text Compression by : Timothy C. Bell
Download or read book Text Compression written by Timothy C. Bell and published by Englewood Cliffs, N.J. : Prentice Hall. This book was released on 1990 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: M->CREATED
Book Synopsis Introduction to Data Compression by : Khalid Sayood
Download or read book Introduction to Data Compression written by Khalid Sayood and published by Elsevier. This book was released on 2006 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Khalid Sayood provides an extensive introduction to the theory underlying today's compression techniques with detailed instruction for their applications using several examples to explain the concepts. Encompassing the entire field of data compression Introduction to Data Compression, includes lossless and lossy compression, Huffman coding, arithmetic coding, dictionary techniques, context based compression, scalar and vector quantization. Khalid Sayood provides a working knowledge of data compression, giving the reader the tools to develop a complete and concise compression package upon completion of his book."--BOOK JACKET.
Book Synopsis The Burrows-Wheeler Transform: by : Donald Adjeroh
Download or read book The Burrows-Wheeler Transform: written by Donald Adjeroh and published by Springer Science & Business Media. This book was released on 2008-06-17 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Burrows-Wheeler Transform is one of the best lossless compression me- ods available. It is an intriguing — even puzzling — approach to squeezing redundancy out of data, it has an interesting history, and it has applications well beyond its original purpose as a compression method. It is a relatively late addition to the compression canon, and hence our motivation to write this book, looking at the method in detail, bringing together the threads that led to its discovery and development, and speculating on what future ideas might grow out of it. The book is aimed at a wide audience, ranging from those interested in learning a little more than the short descriptions of the BWT given in st- dard texts, through to those whose research is building on what we know about compression and pattern matching. The ?rst few chapters are a careful description suitable for readers with an elementary computer science ba- ground (and these chapters have been used in undergraduate courses), but later chapters collect a wide range of detailed developments, some of which are built on advanced concepts from a range of computer science topics (for example, some of the advanced material has been used in a graduate c- puter science course in string algorithms). Some of the later explanations require some mathematical sophistication, but most should be accessible to those with a broad background in computer science.
Book Synopsis Medical Image Processing, Reconstruction and Analysis by : Jiri Jan
Download or read book Medical Image Processing, Reconstruction and Analysis written by Jiri Jan and published by CRC Press. This book was released on 2019-08-30 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: Differently oriented specialists and students involved in image processing and analysis need to have a firm grasp of concepts and methods used in this now widely utilized area. This book aims at being a single-source reference providing such foundations in the form of theoretical yet clear and easy to follow explanations of underlying generic concepts. Medical Image Processing, Reconstruction and Analysis – Concepts and Methods explains the general principles and methods of image processing and analysis, focusing namely on applications used in medical imaging. The content of this book is divided into three parts: Part I – Images as Multidimensional Signals provides the introduction to basic image processing theory, explaining it for both analogue and digital image representations. Part II – Imaging Systems as Data Sources offers a non-traditional view on imaging modalities, explaining their principles influencing properties of the obtained images that are to be subsequently processed by methods described in this book. Newly, principles of novel modalities, as spectral CT, functional MRI, ultrafast planar-wave ultrasonography and optical coherence tomography are included. Part III – Image Processing and Analysis focuses on tomographic image reconstruction, image fusion and methods of image enhancement and restoration; further it explains concepts of low-level image analysis as texture analysis, image segmentation and morphological transforms. A new chapter deals with selected areas of higher-level analysis, as principal and independent component analysis and particularly the novel analytic approach based on deep learning. Briefly, also the medical image-processing environment is treated, including processes for image archiving and communication. Features Presents a theoretically exact yet understandable explanation of image processing and analysis concepts and methods Offers practical interpretations of all theoretical conclusions, as derived in the consistent explanation Provides a concise treatment of a wide variety of medical imaging modalities including novel ones, with respect to properties of provided image data
Book Synopsis Fog Data Analytics for IoT Applications by : Sudeep Tanwar
Download or read book Fog Data Analytics for IoT Applications written by Sudeep Tanwar and published by Springer Nature. This book was released on 2020-08-25 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the unique nature and complexity of fog data analytics (FDA) and develops a comprehensive taxonomy abstracted into a process model. The exponential increase in sensors and smart gadgets (collectively referred as smart devices or Internet of things (IoT) devices) has generated significant amount of heterogeneous and multimodal data, known as big data. To deal with this big data, we require efficient and effective solutions, such as data mining, data analytics and reduction to be deployed at the edge of fog devices on a cloud. Current research and development efforts generally focus on big data analytics and overlook the difficulty of facilitating fog data analytics (FDA). This book presents a model that addresses various research challenges, such as accessibility, scalability, fog nodes communication, nodal collaboration, heterogeneity, reliability, and quality of service (QoS) requirements, and includes case studies demonstrating its implementation. Focusing on FDA in IoT and requirements related to Industry 4.0, it also covers all aspects required to manage the complexity of FDA for IoT applications and also develops a comprehensive taxonomy.
Book Synopsis Hybrid and Advanced Compression Techniques for Medical Images by : Rohit M. Thanki
Download or read book Hybrid and Advanced Compression Techniques for Medical Images written by Rohit M. Thanki and published by Springer. This book was released on 2019-02-22 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces advanced and hybrid compression techniques specifically used for medical images. The book discusses conventional compression and compressive sensing (CS) theory based approaches that are designed and implemented using various image transforms, such as: Discrete Fourier Transform (DFT), Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), and Singular Value Decomposition (SVD) and greedy based recovery algorithm. The authors show how these techniques provide simulation results of various compression techniques for different types of medical images, such as MRI, CT, US, and x-ray images. Future research directions are provided for medical imaging science. The book will be a welcomed reference for engineers, clinicians, and research students working with medical image compression in the biomedical imaging field. Covers various algorithms for data compression and medical image compression; Provides simulation results of compression algorithms for different types of medical images; Provides study of compressive sensing theory for compression of medical images.
Download or read book Data Compression written by David Salomon and published by Springer Science & Business Media. This book was released on 2006-05-09 with total page 912 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
