Redundancy Of Lossless Data Compression For Known Sources By Analytic Methods

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Redundancy of Lossless Data Compression for Known Sources by Analytic Methods

Author : Michael Drmota,Wojciech Szpankowski
Publisher : Unknown
Page : 140 pages
File Size : 43,9 Mb
Release : 2017
Category : Coding theory
ISBN : 1680832859

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Redundancy of Lossless Data Compression for Known Sources by Analytic Methods by Michael Drmota,Wojciech Szpankowski Pdf

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.

Analytic Information Theory

Author : Michael Drmota,Wojciech Szpankowski
Publisher : Cambridge University Press
Page : 382 pages
File Size : 47,8 Mb
Release : 2023-09-07
Category : Computers
ISBN : 9781108647984

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Analytic Information Theory by Michael Drmota,Wojciech Szpankowski Pdf

Aimed at graduate students and researchers interested in information theory and the analysis of algorithms, this book explores problems of information and learning theory, demonstrating how to use tools from analytic combinatorics to discover and analyze precise behavior of source codes.

Three-Dimensional Model Analysis and Processing

Author : Faxin Yu,Zheming Lu,Hao Luo,Pinghui Wang
Publisher : Springer Science & Business Media
Page : 500 pages
File Size : 43,8 Mb
Release : 2011-02-03
Category : Computers
ISBN : 9783642126512

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Three-Dimensional Model Analysis and Processing by Faxin Yu,Zheming Lu,Hao Luo,Pinghui Wang Pdf

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.

Fog Data Analytics for IoT Applications

Author : Sudeep Tanwar
Publisher : Springer Nature
Page : 501 pages
File Size : 41,7 Mb
Release : 2020-08-25
Category : Technology & Engineering
ISBN : 9789811560446

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Fog Data Analytics for IoT Applications by Sudeep Tanwar Pdf

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.

Discrete Algebraic Methods

Author : Volker Diekert,Manfred Kufleitner,Gerhard Rosenberger,Ulrich Hertrampf
Publisher : Walter de Gruyter GmbH & Co KG
Page : 354 pages
File Size : 52,6 Mb
Release : 2016-05-24
Category : Mathematics
ISBN : 9783110416329

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Discrete Algebraic Methods by Volker Diekert,Manfred Kufleitner,Gerhard Rosenberger,Ulrich Hertrampf Pdf

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

Computer and Communication Engineering

Author : Filippo Neri,Ke-Lin Du,Vijayakumar Varadarajan,Angel-Antonio San-Blas,Zhiyu Jiang
Publisher : Springer Nature
Page : 239 pages
File Size : 40,9 Mb
Release : 2023-06-13
Category : Computers
ISBN : 9783031352997

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Computer and Communication Engineering by Filippo Neri,Ke-Lin Du,Vijayakumar Varadarajan,Angel-Antonio San-Blas,Zhiyu Jiang Pdf

This book constitutes refereed proceedings of the Third International Conference on Computer and Communication Engineering, CCCE 2023, held in Stockholm, Sweden, in March 2023. The 18 full papers presented were carefully reviewed and selected from 36 submissions. The papers are organized in the following topical sections: image analysis and method; network model and function analysis of mobile network; system security estimation and analysis of data network; and AI-based system model and algorithm.

Computer Vision and Information Technology

Author : K. V. Kale,S. C. Mehrotra,R. R. Manza
Publisher : I. K. International Pvt Ltd
Page : 1061 pages
File Size : 48,5 Mb
Release : 2010
Category : Computers
ISBN : 9789380026954

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Computer Vision and Information Technology by K. V. Kale,S. C. Mehrotra,R. R. Manza Pdf

Spread in 133 articles divided in 20 sections the present treatises broadly discusses: Part 1: Image Processing Part 2: Radar and Satellite Image Processing Part 3: Image Filtering Part 4: Content Based Image Retrieval Part 5: Color Image Processing and Video Processing Part 6: Medical Image Processing Part 7: Biometric Part 8: Network Part 9: Mobile Computing Part 10: Pattern Recognition Part 11: Pattern Classification Part 12: Genetic Algorithm Part 13: Data Warehousing and Mining Part 14: Embedded System Part 15: Wavelet Part 16: Signal Processing Part 17: Neural Network Part 18: Nanotechnology and Quantum Computing Part 19: Image Analysis Part 20: Human Computer Interaction

Data Analytics and Learning

Author : D. S. Guru
Publisher : Springer Nature
Page : 260 pages
File Size : 41,7 Mb
Release : 2024-06-07
Category : Electronic
ISBN : 9789819963461

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Data Analytics and Learning by D. S. Guru Pdf

Applied Mathematics

Author : Charles K. Chui,Qingtang Jiang
Publisher : Springer Science & Business Media
Page : 551 pages
File Size : 52,8 Mb
Release : 2013-10-01
Category : Mathematics
ISBN : 9789462390096

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Applied Mathematics by Charles K. Chui,Qingtang Jiang Pdf

This textbook, apart from introducing the basic aspects of applied mathematics, focuses on recent topics such as information data manipulation, information coding, data approximation, data dimensionality reduction, data compression, time-frequency and time scale bases, image manipulation, and image noise removal. The methods treated in more detail include spectral representation and “frequency” of the data, providing valuable information for, e.g. data compression and noise removal. Furthermore, a special emphasis is also put on the concept of “wavelets” in connection with the “multi-scale” structure of data-sets. The presentation of the book is elementary and easily accessible, requiring only some knowledge of elementary linear algebra and calculus. All important concepts are illustrated with examples, and each section contains between 10 an 25 exercises. A teaching guide, depending on the level and discipline of instructions is included for classroom teaching and self-study.

Conference Record

Author : Johannes Huber (Prof. Dr.-Ing.)
Publisher : Margret Schneider
Page : 487 pages
File Size : 53,7 Mb
Release : 2004
Category : Coding theory
ISBN : 9783800728022

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Conference Record by Johannes Huber (Prof. Dr.-Ing.) Pdf

Predictive Analytics For Dummies

Author : Anasse Bari,Mohamed Chaouchi,Tommy Jung
Publisher : John Wiley & Sons
Page : 468 pages
File Size : 55,8 Mb
Release : 2016-10-31
Category : Business & Economics
ISBN : 9781119267003

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Predictive Analytics For Dummies by Anasse Bari,Mohamed Chaouchi,Tommy Jung Pdf

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.

Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1671 pages
File Size : 49,7 Mb
Release : 2022-09-09
Category : Medical
ISBN : 9781668475454

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Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention by Management Association, Information Resources Pdf

Medical imaging provides medical professionals the unique ability to investigate and diagnose injuries and illnesses without being intrusive. With the surge of technological advancement in recent years, the practice of medical imaging has only been improved through these technologies and procedures. It is essential to examine these innovations in medical imaging to implement and improve the practice around the world. The Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention investigates and presents the recent innovations, procedures, and technologies implemented in medical imaging. Covering topics such as automatic detection, simulation in medical education, and neural networks, this major reference work is an excellent resource for radiologists, medical professionals, hospital administrators, medical educators and students, librarians, researchers, and academicians.

Digital Video Concepts, Methods, and Metrics

Author : Shahriar Akramullah
Publisher : Apress
Page : 359 pages
File Size : 55,5 Mb
Release : 2014-11-05
Category : Computers
ISBN : 9781430267133

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Digital Video Concepts, Methods, and Metrics by Shahriar Akramullah Pdf

Digital Video Concepts, Methods, and Metrics: Quality, Compression, Performance, and Power Trade-off Analysis is a concise reference for professionals in a wide range of applications and vocations. It focuses on giving the reader mastery over the concepts, methods and metrics of digital video coding, so that readers have sufficient understanding to choose and tune coding parameters for optimum results that would suit their particular needs for quality, compression, speed and power. The practical aspects are many: Uploading video to the Internet is only the beginning of a trend where a consumer controls video quality and speed by trading off various other factors. Open source and proprietary applications such as video e-mail, private party content generation, editing and archiving, and cloud asset management would give further control to the end-user. Digital video is frequently compressed and coded for easier storage and transmission. This process involves visual quality loss due to typical data compression techniques and requires use of high performance computing systems. A careful balance between the amount of compression, the visual quality loss and the coding speed is necessary to keep the total system cost down, while delivering a good user experience for various video applications. At the same time, power consumption optimizations are also essential to get the job done on inexpensive consumer platforms. Trade-offs can be made among these factors, and relevant considerations are particularly important in resource-constrained low power devices. To better understand the trade-offs this book discusses a comprehensive set of engineering principles, strategies, methods and metrics. It also exposes readers to approaches on how to differentiate and rank video coding solutions.

Smart Meter Data Analytics

Author : Yi Wang,Qixin Chen,Chongqing Kang
Publisher : Springer Nature
Page : 306 pages
File Size : 42,6 Mb
Release : 2020-02-24
Category : Business & Economics
ISBN : 9789811526244

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Smart Meter Data Analytics by Yi Wang,Qixin Chen,Chongqing Kang Pdf

This book aims to make the best use of fine-grained smart meter data to process and translate them into actual information and incorporated into consumer behavior modeling and distribution system operations. It begins with an overview of recent developments in smart meter data analytics. Since data management is the basis of further smart meter data analytics and its applications, three issues on data management, i.e., data compression, anomaly detection, and data generation, are subsequently studied. The following works try to model complex consumer behavior. Specific works include load profiling, pattern recognition, personalized price design, socio-demographic information identification, and household behavior coding. On this basis, the book extends consumer behavior in spatial and temporal scale. Works such as consumer aggregation, individual load forecasting, and aggregated load forecasting are introduced. We hope this book can inspire readers to define new problems, apply novel methods, and obtain interesting results with massive smart meter data or even other monitoring data in the power systems.