Information Theory: 50 Years of Discovery
Sergio Verdú, Steven W. McLaughlin, IEEE Information Theory Society
Wiley, 2000 - Technology & Engineering - 758 pages
"In 1948 Claude Shannon published the paper that single-handedly started the field of information theory, ""The Mathematical Theory of Communication."" This groundbreaking paper laid the foundation for virtually all aspects of modern-day communications.
Now INFORMATION THEORY celebrates the discovery of this dynamic field with a major collection of 25 tutorial articles spanning the last 50 years. With over 3,000 references, this book is an ideal resource for industry researchers, practicing engineers, and graduate students in communications, signal processing, and computing.
Compiled by the editors of the IEEE Transactions on Information Theory, these articles have been written by leaders in the field, providing insightful introductions and useful summaries of 50 years of work on the theory and practice of
* Data compression
* Error correction
* Modulation and coding
* Detection and estimation
* Shannon theory
* Signal processing.
INFORMATION THEORY comes complete with a CD-ROM that includes the author, subject, and transaction indexes of the IEEE Transactions in Information Theory Digital Library. The CD-ROM also includes a complete listing of, and hyperlinks to, all papers from IEEE Transactions on Information Theory since its inception in 1953."
IEEE Information Theory Society
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Fifty Years of Shannon Theory
The Interactions Between Ergodic Theory and Information Theory
InformationTheoretic Image Formation
23 other sections not shown
achieve algorithm analysis applications approximation association scheme asymptotic binary block broadcast channel codewords coding gain coding theorem coding theory coefficients communication complexity compute constraint convolutional codes data compression decoding defined denote density detection distortion distribution encoder entropy ergodic ergodic theory error exponent error probability estimate example finite finite-state function Gaussian channel given graph IEEE IEEE Trans information theory input integer Lemma linear loss function lower bound Markov Math matrix maximum maximum-likelihood measure memoryless method minimal minimum modulation mutual information noise number of bits optimal orthogonal output packet parameters partition performance polynomial probability of error problem Proc random variable randomized code rate distortion theory sample Section self-information sequence Shannon signal source coding space spectral Statist stochastic symbol techniques transform transmission transmitted trellis codes turbo codes universal VC dimension vector quantization wavelet zero