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Joint Source Channel Coding Using Arithmetic Codes

Based on the encoding process, arithmetic codes can be viewed as tree codes and current proposals for decoding arithmetic codes with;

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NearCapacity VariableLength Coding

applications in joint source and channel coding. Near-capacity designs are created using Extrinsic Information Transfer (EXIT) chart analysis. The;

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Joint Source-channel Coding Of Discrete-time Signals With Continuous Amplitudes

Theory is not the main topic of the book - in fact, the concept of joint source-channel coding is contradictory to the classical system design;

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Turbo-Codes

of joint source-channel coding (JSCC), where these codes are jointly used for both source compression and error correction. Theoretical models for;

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Channel and Source Coding for Non-Volatile Flash Memories

schemes based on concatenated codes like generalized concatenated codes (GCC) which are applicable for NAND flash memories by using the hard and;

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Turbo Coding, Turbo Equalisation and SpaceTime Coding

Covering the full range of channel codes from the most conventional through to the most advanced, the second edition of Turbo Coding, Turbo;

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Advances In Coding Theory And Cryptography

contains articles from a variety of topics most of which are from coding theory. Such topics include codes over order domains, Groebner;

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Joint Source-Channel Video Transmission

natural approach is to adapt the end-system to the network. The joint source-channel coding approach aims to efficiently perform content-aware;

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Channel Codes

Channel coding lies at the heart of digital communication and data storage, and this detailed introduction describes the core theory as;

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Modern Coding Theory

analyse and design practical iterative coding systems are presented. Using Gallager's original ensemble of LDPC codes, the basic concepts are;

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Error Correcting Coding And Security For Data Networks

joint coding at different network layers. Discusses the problem of reconciling coding applied to different layers using a superchannel;

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Entropy and Information Theory

Shannon source and channel coding theorems; the remainder addresses sources, channels, and codes and on information and distortion measures and;

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Entropy and Information Theory

Shannon source and channel coding theorems; the remainder addresses sources, channels, and codes and on information and distortion measures and;

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Digital Communications 1

, we will study the source coding techniques with and without loss. Then we analyze the correcting codes for block errors, convutional and;

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Algorithms and Architectures for Cryptography and Source Coding in Non-Volatile Flash Memories

In this work, algorithms and architectures for cryptography and source coding are developed, which are suitable for many resource;

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Selected Topics In Information And Coding Theory

high-profile researchers in their respective specialties, topics that are covered include source coding; channel capacity; linear complexity;

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MIMOOFDM for LTE, WiFi and WiMAX

near-ML MUDs and sphere detection. The benefits of spreading codes as well as joint iterative channel and data estimation are only a few of the;

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Information and Communication Theory

to e.g. zip or png. In addition to exploring the channel coding theorem, the book includes illustrative examples of codes. This;

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Contemporary Coding Techniques and Applications for Mobile Communications

channels. Contemporary Coding Techniques and Applications for Mobile Communications provides a clear, comprehensive, and practical grounding on the;

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Contemporary Coding Techniques and Applications for Mobile Communications

channels. Contemporary Coding Techniques and Applications for Mobile Communications provides a clear, comprehensive, and practical grounding on the;

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High Speed Decoders for Polar Codes

source coding, problems with side information, multiple access channel, etc. The first comprehensive book on the implementation;

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Algebraic and Stochastic Coding Theory

Using a simple yet rigorous approach, Algebraic and Stochastic Coding Theory makes the subject of coding theory easy to understand for;

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Two-Dimensional Information Theory And Coding

channel capacity, which requires minimal mathematical background knowledge. It then introduces error-correcting codes, particularly Reed-Solomon;

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Network Coding

Coding and Matroids, Maximilien Gadouleau. 7. Joint Network-Channel Coding for the Semi-Orthogonal MARC: Theoretical Bounds and Practical Design;

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Iterative Decoding of Parallel and Serial Concatenated Codes

dramatically with respect to the attainable coding gain. The author focused on the study of the concatenated convolutional codes and their iterative;

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An Introduction to Single User Information Theory

(with accompanying problems), emphasizing the key topics of information measures; lossless and lossy data compression; channel coding; and joint;

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Coding Theory

to transmit information across time and space over noisy and unreliable communication channels. Coding Theory: Algorithms, Architectures and;

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