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- A Brief Introduction to Shannon’s Information Theory
Shannon’s discovery of the fundamental laws of data compression and transmission marks the birth of Information Theory In this note, we first discuss how to formulate the main fundamental quantities in In-formation Theory: information, Shannon entropy and channel capacity
- Claude Elwood Shannon (1916 2001), Volume 49, Number 1
Shannon liberated the “entropy” of thermody-namics from physics and redefined it as a measure of uncertainty on probability distributions
- “A Mathematical Theory of Communication”
“A Mathematical Theory of Communication” Claude Shannon’s paper presented by Kate Jenkins 2 19 00
- Shannon Uncertainty and Information - University of Utah
William Dembski [1] de nes a measure of in- formation that is similar to the classical measure of Claude Shannon [2] To understand Dembski, you need a little background on Shannon
- Microsoft Word - QRS. doc - Computer
While Turing and von Neumann recognized the application of mathematical logic to computer design, it was the 1948 paper of Shannon that set the stage for the recognition of the basic theory of information which could be processed by the machines the other pioneers developed
- Mathematical Theory of Claude Shannon
Since the idea had been stumbled upon many times before Shannon, it obviously was not a difficult concept to grasp, unlike Shannon's later work in information theory
- Shannon entropy and mutual information - emblaustralia. org
We describe the two of the main quantities of the field, Shannon entropy and mutual information, which characterise information about a random variable in terms of uncertainty reduction
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