暂无分享,去创建一个
[1] R. Gray. Conditional Rate-Distortion Theory , 1972 .
[2] Vincent Yan Fu Tan,et al. Asymptotic Estimates in Information Theory with Non-Vanishing Error Probabilities , 2014, Found. Trends Commun. Inf. Theory.
[3] Aaron D. Wyner,et al. Coding Theorems for a Discrete Source With a Fidelity CriterionInstitute of Radio Engineers, International Convention Record, vol. 7, 1959. , 1993 .
[4] Jonathan Scarlett,et al. On the Dispersions of the Gel’fand–Pinsker Channel and Dirty Paper Coding , 2013, IEEE Transactions on Information Theory.
[5] Vincent Yan Fu Tan,et al. Second-Order Coding Rates for Channels With State , 2014, IEEE Transactions on Information Theory.
[6] Sergio Verdú,et al. A new converse in rate-distortion theory , 2012, 2012 46th Annual Conference on Information Sciences and Systems (CISS).
[7] Sergio Verdú,et al. Optimal Lossless Data Compression: Non-Asymptotics and Asymptotics , 2014, IEEE Transactions on Information Theory.
[8] David J. Sakrison,et al. A geometric treatment of the source encoding of a Gaussian random variable , 1968, IEEE Trans. Inf. Theory.
[9] Te Sun Han. Folklore in source coding: information-spectrum approach , 2005, IEEE Transactions on Information Theory.
[10] Toby Berger,et al. Rate distortion theory : a mathematical basis for data compression , 1971 .
[11] R. C. Bradley. Basic properties of strong mixing conditions. A survey and some open questions , 2005, math/0511078.
[12] Masahito Hayashi,et al. Second-Order Asymptotics in Fixed-Length Source Coding and Intrinsic Randomness , 2005, IEEE Transactions on Information Theory.
[13] D. J. Bartholomew,et al. An Introduction to Probability Theory and its Applications , 1967 .
[14] Sergio Verdú,et al. Fixed-Length Lossy Compression in the Finite Blocklength Regime , 2011, IEEE Transactions on Information Theory.
[15] Zhen Zhang,et al. The redundancy of source coding with a fidelity criterion: 1. Known statistics , 1997, IEEE Trans. Inf. Theory.
[16] Aaron D. Wyner,et al. The rate-distortion function for source coding with side information at the decoder , 1976, IEEE Trans. Inf. Theory.
[17] Haim H. Permuter,et al. Source Coding When the Side Information May Be Delayed , 2011, IEEE Transactions on Information Theory.
[18] Tamás Linder,et al. On source coding with side-information-dependent distortion measures , 2000, IEEE Trans. Inf. Theory.
[19] Jonathan Scarlett,et al. On the dispersion of dirty paper coding , 2014, 2014 IEEE International Symposium on Information Theory.
[20] Bin Yu,et al. A rate of convergence result for a universal D-semifaithful code , 1993, IEEE Trans. Inf. Theory.
[21] Vincent Yan Fu Tan,et al. Non-asymptotic and second-order achievability bounds for source coding with side-information , 2013, 2013 IEEE International Symposium on Information Theory.
[22] Imre Csiszár,et al. Information Theory - Coding Theorems for Discrete Memoryless Systems, Second Edition , 2011 .
[23] Victoria Kostina,et al. Lossy data compression: Nonasymptotic fundamental limits , 2013 .
[24] Yuval Kochman,et al. The Dispersion of Lossy Source Coding , 2011, 2011 Data Compression Conference.
[25] Barry M. Leiner,et al. Rate-distortion theory for ergodic sources with side information (Corresp.) , 1974, IEEE Trans. Inf. Theory.
[26] Katalin Marton,et al. Error exponent for source coding with a fidelity criterion , 1974, IEEE Trans. Inf. Theory.
[27] Vincent Y. F. Tan,et al. Moderate-deviations of lossy source coding for discrete and Gaussian sources , 2011, 2012 IEEE International Symposium on Information Theory Proceedings.
[28] Abbas El Gamal,et al. Network Information Theory , 2021, 2021 IEEE 3rd International Conference on Advanced Trends in Information Theory (ATIT).
[29] Sang Joon Kim,et al. A Mathematical Theory of Communication , 2006 .
[30] Takis Konstantopoulos,et al. MARKOV CHAINS AND RANDOM WALKS , 2009 .
[31] Tsachy Weissman,et al. Source Coding With Limited-Look-Ahead Side Information at the Decoder , 2006, IEEE Transactions on Information Theory.
[32] Michael Fleming,et al. On rate-distortion with mixed types of side information , 2003, IEEE Transactions on Information Theory.
[33] Alexander Tikhomirov,et al. On the Convergence Rate in the Central Limit Theorem for Weakly Dependent Random Variables , 1981 .