Information Theory and Reliable CommunicationWiley, 15 בינו׳ 1968 - 588 עמודים Explore information theory as it relates to the fundamental aspects of communication systems Information theory is at work all around us, every day, and in all our communications. Information Theory and Reliable Communication delves into the mathematical models of sources and channels in communication systems and then explores the framework for constructing highly-detailed models of real-world sources and channels. The text then extends further into information theory by breaking encoders and decoders into two parts and studying the mechanisms that make more effective communication systems. Taken as a whole, the book provides exhaustive coverage of the practical use of information theory in developing communications systems. |
תוכן
Communication Systems and Information Theory | 1 |
A Measure of Information | 13 |
Coding for Discrete Sources | 38 |
זכויות יוצרים | |
8 קטעים אחרים שאינם מוצגים
מהדורות אחרות - הצג הכל
Information Theory and Reliable Communication <span dir=ltr>Robert Gallager</span> אין תצוגה מקדימה זמינה - 2014 |
מונחים וביטויים נפוצים
a₁ alphabet arbitrary average distortion average mutual information BCH code binary digits binary symmetric channel block length burst capacity channel input code words coding theorem consider constraint convex convolutional codes corresponding cyclic code decoding error defined discrete memoryless channel distortion measure elements encoder ensemble of codes entropy equations ergodic error probability exponent Figure finite function GF(q given hypothesis inequality integer lemma linear lower bound maximize memoryless channel minimal minimal polynomial mutual information node nonzero number of code P(jk polynomial prefix condition probability assignment probability density probability measure probability vector problem proof random process random variable result S₁ sample space satisfies self-information source coding source digit source letter source output source sequence spectral density statistically independent subblocks T₁ transition probabilities transmitted u₁ upper bound waveform white Gaussian noise x₁