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Introduction to Data Compression, Fifth Edition, builds on the success of what is widely considered the best introduction and reference;
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Introduction to Data Compression, Third Edition, is a concise and comprehensive guide to data compression. This book introduces the;
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With the increasing interest in holography for 3D imaging applications, there is a need to develop and use hologram compression;
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This complete introduction to two-dimensional (2-D) information theory and coding provides the key techniques for modeling data and;
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. Introduction to Information Theory and Data Compression, Second Edition is ideally suited for an upper-level or graduate course for students;
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. Introduction to Information Theory and Data Compression, Second Edition is ideally suited for an upper-level or graduate course for students;
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A concise guide of essential data compression methods and algorithms for text, audio and imaging data.;
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Hyperspectral Data Compression provides a survey of recent results in the field of compression of remote sensed 3D data, with a particular;
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adapted to the specificities of biomedical data which contain diagnosis information. As such, this book offers an overview of compression;
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, memory, and the memory/cache link. There are many non-trivial challenges that must be addressed to make data compression work well in this;
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impossible. Transforming the data to a frequency or other domain enables even more efficient compression. By illustrating this intimate link, The;
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Image and video signals require large transmission bandwidth and storage, leading to high costs. The data must be compressed without a loss;
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Image and video signals require large transmission bandwidth and storage, leading to high costs. The data must be compressed without a loss;
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Fundamental Data Compression provides all the information students need to be able to use this essential technology in their future careers;
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than existing texts, the book's approach also includes compression, encryption, and macroprocessing.An Introduction to Text;
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different applications. The role of compression is to reduce bandwidth requirements for transmission and memory requirements for storage of all;
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applications, powerful data compression and transmission techniques are required to achieve highly efficient communication, even in the presence;
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directly in the compression domain are evaluated. The introduction of hierarchical and object-oriented concepts to shader programming lead to a;
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submissions. The papers are structured in topical sections on introduction to web retrieval, sequence learning, computational geography, space;
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With this comprehensive and accessible introduction to the field, you will gain all the skills and knowledge needed to work with current;
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Image data compression comes under the category ofdigital image processing. Image compression is themethod of effectively coding digital;
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AUDIO, VIDEO AND IMAGES.AS THE TRANSMISSION CHANNEL IS VERY UNSECURE SO VARIOUS TECNIQUES ARE USED TO SECURE THE DATA BEFORE TRANSMISSION.THE;
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subtopics of data, speech, audio and visual signal coding, together with an introductory overview chapter on signal compression. The overview;
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existing software and hardware solutions. Describes secure JPEG 2000 (JPSEC), interactivity protocols (JPIP), volumetric image data compression;
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In this book, new developments in network coding and data compression are examined. The first chapter proposes a new multipath transmission;
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. Covers various algorithms for data compression and medical image compression; Provides simulation results of compression algorithms for;
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