2001 Paper 7 Question 12 Information Theory and Coding (a) Consider n different discrete random variables, named X1 , X2 , . . . , Xn , each of which has entropy H(Xi ). Suppose that random variable Xj has the smallest

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1998 Paper 9 Question 11 Information Theory and Coding Consider Shannon’s third theorem, the Channel Capacity Theorem, for a continuous communication channel having bandwidth W Hertz, perturbed by additive white Gauss

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2007 Paper 7 Question 8 Information Theory and Coding (a) Suppose that the following sequence of Yes/No questions was an optimal strategy for playing the “Game of seven questions” to learn which of the letters {A, B

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Ideomotor design Using common coding theory to derive novel video game interactions* Sanjay Chandrasekharan, Alexandra Mazalek, Michael Nitsche, Yanfeng Chen, and Apara Ranjana Georgia Institute of Technology / aUniversi

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2002 Paper 9 Question 10 Information Theory and Coding (a) (i ) A Hamming Code allows reliable transmission of data over a noisy channel with guaranteed error correction as long as no more than one bit in any block of 7

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2004 Paper 8 Question 10 Information Theory and Coding (a) Consider a binary symmetric communication channel, whose input source is the alphabet X = {0, 1} with probabilities {0.5, 0.5}; whose output alphabet is Y = {0,

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1999 Paper 8 Question 11 Information Theory and Coding What is the entropy H, in bits, of the following source alphabet whose letters have the probabilities shown? A

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4530 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 57, NO. 7, JULY 2011 Source Coding With a Side Information “Vending Machine”

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COMPUTER SCIENCE TRIPOS Part II – 2013 – Paper 7 9 Information Theory and Coding (JGD) (a) Consider an alphabet of 5 symbols whose probabilities are as follows: A

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facultad de inform´ atica universidad polit´ecnica de madrid Automatic Coding Rule Conformance Checking Using Logic Programming

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• C programming language
• MISRA C
• Prolog
• C
• Type system
• Computing
• Programming language theory
• Software engineering