Výsledky vyhľadávania - "Rate-distortion coding"

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  1. 1

    Universally attainable error exponents for rate-distortion coding of noisy sources Autor Weissman, T.

    ISSN: 0018-9448, 1557-9654
    Vydavateľské údaje: New York IEEE 01.06.2004
    “…Consider the problem of rate-constrained reconstruction of a finite-alphabet discrete memoryless signal X/sup n/=(X/sub 1/,...,X/sub n/), based on a…”
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    Journal Article
  2. 2

    Block and Sliding-Block Lossy Compression via MCMC Autor Jalali, Shirin, Weissman, Tsachy

    ISSN: 0090-6778
    Vydavateľské údaje: New York, NY IEEE 01.08.2012
    Vydané v IEEE transactions on communications (01.08.2012)
    “…We propose an approach to lossy compression of finite-alphabet sources that utilizes Markov chain Monte Carlo (MCMC) and simulated annealing methods. The idea…”
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    Journal Article
  3. 3

    Lossy Compression of Discrete Sources via the Viterbi Algorithm Autor Jalali, S., Montanari, A., Weissman, T.

    ISSN: 0018-9448, 1557-9654
    Vydavateľské údaje: New York, NY IEEE 01.04.2012
    “…We present a new lossy compressor for finite-alphabet sources. For coding a sequence x n , the encoder starts by assigning a certain cost to each possible…”
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  4. 4

    One-Shot Lossy Quantum Data Compression Autor Datta, Nilanjana, Renes, Joseph M., Renner, Renato, Wilde, Mark M.

    ISSN: 0018-9448, 1557-9654
    Vydavateľské údaje: New York, NY IEEE 01.12.2013
    “…We provide a framework for one-shot quantum rate distortion coding, in which the goal is to determine the minimum number of qubits required to compress quantum information as a function…”
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  5. 5

    One-shot lossy quantum data compression Autor Datta, Nilanjana, Renes, Joseph M, Renner, Renato, Wilde, Mark M

    ISSN: 2331-8422
    Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 17.09.2013
    Vydané v arXiv.org (17.09.2013)
    “…We provide a framework for one-shot quantum rate distortion coding, in which the goal is to determine the minimum number of qubits required to compress quantum information as a function…”
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    Paper