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Coding theory
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231	Prof. Amos Lapidoth \| Signal and Information Processing Laboratory \| www.isi.ee.ethz.ch Prof. Amos Lapidoth Information Theory Curriculum Vitae Prof. Amos Lapidoth Add to Reading List Source URL: www.ee.ethz.ch Language: English - Date: 2015-06-18 13:26:25 Electronic engineering Entropy Rényi entropy Noisy-channel coding theorem Data compression Channel capacity Information theory Information Telecommunications engineering
232	Reed-Solomon Library Programming Interface Thomas Gleixner Add to Reading List Source URL: tali.admingilde.org Language: English - Date: 2007-11-17 18:03:32 C programming language Computer programming Data transmission Reed–Solomon error correction Ip Circular buffer Sizeof Parity bit Struct Error detection and correction Computing Coding theory
233	Quantum Error Correction beyond the Bounded Distance Decoding Limit K. Kasai†, M. Hagiwara‡, H. Imai‡?, and K. Sakaniwa† † ‡ ? Tokyo Tech, RCIS, AIST, Chuo University Add to Reading List Source URL: www.comm.ce.titech.ac.jp Language: English - Date: 2013-03-26 05:46:45 Mathematics Applied mathematics Information theory Quantum information science Computational complexity theory Low-density parity-check code Quantum error correction Quantum computer Noisy-channel coding theorem Coding theory Theoretical computer science Error detection and correction
234	Page 1 / 1 Edward Frenkel’s interview to the Brazilian newspaper Valor Econômico, Q: I am not going to lie to you: Math was not my favorite class in school. I thought it was too abstract and, later on, it w Add to Reading List Source URL: math.berkeley.edu Language: English - Date: 2015-04-11 14:55:24 Finite fields XTR Modal logic Coding theory Vacuous truth Exponential mechanism Mathematics Logic Abstract algebra
235	c27d, :51 CHAPTER 27 Add to Reading List Source URL: omega.albany.edu Language: English - Date: 2005-09-22 15:53:38 Probability and statistics Entropy Principle of maximum entropy Channel Communication theory Coding theory Noisy-channel coding theorem Entropy in thermodynamics and information theory Information theory Information Statistics
236	Formalization of Error-correcting Codes using SSReflect Reynald Affeldt1 and Jacques Garrigue1 1 National Institute of Advanced Industrial Science and Technology 2 Add to Reading List Source URL: www.math.nagoya-u.ac.jp Language: English - Date: 2014-11-13 21:13:13 Discrete mathematics Mathematics Linear code Low-density parity-check code Decoding methods Hamming code Hamming Forward error correction Parity-check matrix Coding theory Error detection and correction Information theory
237	SGN-1650/SGN-1656 Signal Processing Laboratory Data Compression Exercise Ionut Schiopu, Department of Signal Processing Tampere University of Technology Add to Reading List Source URL: www.cs.tut.fi Language: English - Date: 2013-09-12 08:57:12 Formal sciences Graphics file formats Audio engineering Videotelephony Lossless data compression Golomb coding Huffman coding Information theory Entropy Computing Data compression Information
238	Randomized Algorithms 2013A – Problem Set 5 Robert Krauthgamer and Moni Naor Date Due: February 13 Read Haeupler’s paper [Hae11] and use it to answer the following questions in a self-contained manner. You are suppos Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2013-01-28 13:36:00 Network performance Wireless sensor network Information Telecommunications engineering Mathematics Coding theory Information theory Network coding
239	5396 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 56, NO. 11, NOVEMBER 2010 Capacity of Channels With Action-Dependent States Tsachy Weissman, Senior Member, IEEE Add to Reading List Source URL: www.stanford.edu Language: English - Date: 2012-01-20 14:06:41 Statistical theory Entropy Channel Channel capacity Noisy-channel coding theorem Information theory Information Telecommunications engineering
240	2008 Paper 8 Question 9 Information Theory and Coding (a) (i ) A variable-length, uniquely decodable code that has the prefix property and whose N binary code word lengths are n1 ≤ n2 ≤ n3 ≤ · · · ≤ nN must s Add to Reading List Source URL: www.cl.cam.ac.uk Language: English - Date: 2014-06-09 10:18:26 Telecommunications engineering Autocorrelation Code Sampling Noise Triple correlation Signal processing Statistics Applied mathematics

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