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Rate–distortion theory
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21	Circumventing the Curse of Dimensionality in Prediction: Causal Rate-Distortion for Infinite-Order Markov Processes Sarah Marzen Add to Reading List Source URL: www.santafe.edu Language: English - Date: 2014-12-19 12:52:53 Markov models Information Rate–distortion theory Markov chain Causality Entropy Mutual information Markov process Hidden Markov model Information theory Statistics Mathematical analysis
22	Nonasymptotic noisy lossy source coding Victoria Kostina, Sergio Verd´u Dept. of Electrical Engineering, Princeton University, NJ 08544, USA Abstract—This paper shows new general nonasymptotic achievability and conver Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2013-12-03 13:59:41 Mathematics Communication Data compression Rate–distortion theory Noisy-channel coding theorem Data Sturm–Liouville theory Kullback–Leibler divergence Information theory Information Coding theory
23	Minimal Randomness and Information Theory Sergio Verd6 Dept. Electrical Engineering, Princeton University, Princeton, New Jersey 08544, USA Abstract - This is a tutorial survey of recent information theoretic results dea Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2005-09-08 15:10:40 Information Cryptography Knowledge Communication Information Age Rate–distortion theory Entropy Complexity Information theory Randomness Science
24	A new converse in rate-distortion theory Victoria Kostina, Sergio Verd´u Dept. of Electrical Engineering, Princeton University, NJ, 08544, USA Abstract—This paper shows new finite-blocklength converse bounds applicabl Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2012-06-04 16:38:19 Data compression Rate–distortion theory Data Kullback–Leibler divergence Information theory Information Communication
25	Fixed-length lossy compression in the finite blocklength regime: Gaussian source Victoria Kostina Sergio Verd´u Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2011-08-11 18:12:05 Statistical theory Rate–distortion theory Noisy-channel coding theorem Additive white Gaussian noise Normal distribution Central limit theorem Error exponent Redundancy Information theory Statistics Information
26	Channels with cost constraints: strong converse and dispersion Victoria Kostina, Sergio Verd´u Dept. of Electrical Engineering, Princeton University, NJ 08544, USA Abstract—This paper shows the strong converse and the Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2013-05-24 18:49:08 Data Additive white Gaussian noise Channel capacity Rate–distortion theory Mutual information Noisy-channel coding theorem Typical set Information theory Information Telecommunications engineering
27	ISIT 2009, Seoul, Korea, June 28 - July 3, 2009 Fundamental Limits of Almost Lossless Analog Compression Yihong Wu Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2009-07-28 11:50:01 Formal sciences Data Telecommunications engineering Communication Information Age Rate–distortion theory Lossless data compression Entropy Lipschitz continuity Information theory Information Data compression
28	Microsoft Word[removed]JDCTA2[removed]doc Add to Reading List Source URL: www.aicit.org Language: English - Date: 2011-09-28 06:27:57 Videotelephony ISO standards High-definition television Inter frame H.264/MPEG-4 AVC Motion compensation Rate–distortion theory Data compression Distortion Video compression Video Electronic engineering
29	To code or not to code: Revisited Victoria Kostina, Sergio Verd´u Dept. of Electrical Engineering, Princeton University, NJ 08544, USA Abstract—We revisit the dilemma of whether one should or should not code when oper Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2013-05-24 18:51:45 Mathematics Communication Data compression Discrete mathematics Noisy-channel coding theorem Rate–distortion theory Additive white Gaussian noise Binary symmetric channel Constructible universe Information theory Coding theory Information
30	ITW 2007, Lake Tahoe, California, September 2 - 6, 2007 Nonlinear Sparse-Graph Codes for Lossy Compression of Discrete Nonredundant Sources Ankit Gupta Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2008-11-03 19:55:31 Information Linear code Binary symmetric channel Block code Entropy Rate–distortion theory Generator matrix Low-density parity-check code Hamming Coding theory Information theory Discrete mathematics

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