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

-constrained embedded systems such as non-volatile flash memories. A new concept for elliptic curve cryptography is presented, which uses an arithmetic;

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Error Correction Codes for Non-Volatile Memories

of multimedia products, like USB keys, MP3 players, digital cameras and solid-state disk. In ECC for Non-Volatile Memories the authors expose the;

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Phase Change Memory

generation memory technology and briefly surveys the landscape of novel non-volatile memories. Among these, Phase Change Memory (PCM) is emerging as;

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Sensing of Non-Volatile Memory Demystified

This book introduces readers to the latest advances in sensing technology for a broad range of non-volatile memories (NVMs). Challenges;

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Charge Trapping Non Volatile Memories

technology for charge-trapping non-volatile memories; Details new architectures and current modeling concepts for non-volatile memory devices;

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

This book provides the first comprehensive and easy-to-read discussion of joint source-channel encoding and decoding for source signals;

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Emerging Memory Technologies

architecture designs. Since NVM technologies combine the speed of SRAM, the density of DRAM, and the non-volatility of Flash memory, they are very;

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Information and Communication Theory

central concept, channel coding, continuous random variables, Gaussian channels, discrete input continuous channels, and a brief look at rate;

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The Theory of Information and Coding

schemes which can be used for channel and source coding. This volume can be used either for self-study, or for a graduate/undergraduate level;

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Theory Of Information And Coding

schemes which can be used for channel and source coding. This volume can be used either for self-study, or for a graduate/undergraduate level;

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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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Video Coding for Wireless Communication Systems

Explains the transmission of image and video information over wireless channels. Describes MPEG-4, the latest video coding standard;

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Source Coding Theory

must code an information source for transmission over a digital communication or storage channel for transmission to a user. The user must;

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Advances in Non-volatile Memory and Storage Technology

Advances in Nonvolatile Memory and Storage Technology, Second Edition, addresses recent developments in the non-volatile memory;

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Gate Stack Engineering for Emerging Polarization based Non-volatile Memories

Gate Stack Engineering for Emerging Pola is een boek van Milan Pesic;

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Channel Coding for Telecommunications

This book clearly describes the leading techniques for channel coding. An advanced tutorial greatly improves the readera s understanding;

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Coding for MIMO Communication Systems

spatial multiplexing, concatenated coding and iterative decoding for MIMO systems, and space-time coding for non-coherent MIMO channels. Practical;

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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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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 Video Transmission

application layer and the other network layers, such as data rate adaptation, channel coding, power adaptation in wireless networks, quality;

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Visual Media Coding and Transmission

in the form of Scalable Coding, Distributed Video Coding, Non-Normative Video Coding Tools and Transform Based Multi-View Coding. Having detailed;

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Channel Coding: Theory, Algorithms, and Applications

This book gives a review of the principles, methods and techniques of important and emerging research topics and technologies in Channel;

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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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Information Theory and Rate Distortion Theory for Communications and Compression

designing real systems. The chapters contain treatments of entropy, mutual information, lossless source coding, channel capacity, and rate;

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Coding and Signal Processing for Magnetic Recording Systems

complicated signal processing, coding, and modulation algorithms for the hard disk drive read channel. Today, the challenges in implementing new;

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Audio Source Separation

factorization, deep neural networks, and sparse component analysis. The first section of the book covers single channel source separation based on non;

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