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008 140122 ||| eng
020 |a 9781475739824 
100 1 |a Gray, Robert M. 
245 0 0 |a Entropy and Information Theory  |h Elektronische Ressource  |c by Robert M. Gray 
250 |a 1st ed. 1990 
260 |a New York, NY  |b Springer New York  |c 1990, 1990 
300 |a XXIII, 332 p  |b online resource 
505 0 |a 1 Information Sources -- 2 Entropy and Information -- 3 The Entropy Ergodic Theorem -- 4 Information Rates I -- 5 Relative Entropy -- 6 Information Rates II -- 7 Relative Entropy Rates -- 8 Ergodic Theorems for Densities -- 9 Channels and Codes -- 10 Distortion -- 11 Source Coding Theorems -- 12 Coding for noisy channels 
653 |a Coding and Information Theory 
653 |a Complex Systems 
653 |a Coding theory 
653 |a Control, Robotics, Automation 
653 |a Engineering mathematics 
653 |a Artificial Intelligence 
653 |a Probability Theory 
653 |a System theory 
653 |a Information theory 
653 |a Control engineering 
653 |a Artificial intelligence 
653 |a Robotics 
653 |a Engineering / Data processing 
653 |a Automation 
653 |a Mathematical and Computational Engineering Applications 
653 |a Probabilities 
041 0 7 |a eng  |2 ISO 639-2 
989 |b SBA  |a Springer Book Archives -2004 
028 5 0 |a 10.1007/978-1-4757-3982-4 
856 4 0 |u https://doi.org/10.1007/978-1-4757-3982-4?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 003.54