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Communication theory of secrecy systems
  • C. Shannon
  • Mathematics, Computer Science
  • Bell Syst. Tech. J.
  • 1 October 1949
TLDR
A theory of secrecy systems is developed on a theoretical level and is intended to complement the treatment found in standard works on cryptography. Expand
A mathematical theory of communication
  • C. Shannon
  • Computer Science, Mathematics
  • Bell Syst. Tech. J.
  • 1 July 1948
In this final installment of the paper we consider the case where the signals or the messages or both are continuously variable, in contrast with the discrete nature assumed until now. To aExpand
Communication in the presence of noise
A method is developed for representing any communication system geometrically. Messages and the corresponding signals are points in two "function spaces," and the modulation process is a mapping ofExpand
The zero error capacity of a noisy channel
  • C. Shannon
  • Mathematics, Computer Science
  • IRE Trans. Inf. Theory
  • 1 September 1956
TLDR
It is shown that while the ordinary capacity of a memoryless channel with feedback is equal to that of the same channel without feedback, the zero error capacity may be greater and a solution is given to the problem of evaluating C_oF. Expand
Prediction and entropy of printed English
A new method of estimating the entropy and redundancy of a language is described. This method exploits the knowledge of the language statistics possessed by those who speak the language, and dependsExpand
The mathematical theory of communication
TLDR
This commemorative reprinting of The Mathematical Theory of Communication, published originally as a paper on communication theory more than fifty years ago, is released. Expand
Two-way Communication Channels
TLDR
This work wishes to determine what pairs of signalling rates R1 and R2 for the two directions can be approached with arbitrarily small error probabilities. Expand
Probability of error for optimal codes in a Gaussian channel
A study is made of coding and decoding systems for a continuous channel with an additive gaussian noise and subject to an average power limitation at the transmitter. Upper and lower bounds are foundExpand
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