A Mathematical Theory of Communication
Математическая теория связи
1948-10-01
SCID: 54.1/wqk2tb4q
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Continuous messagesContinuous signalsDiscrete-to-continuous limiting processInformation theoryMathematical theory of communication
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Abstract (AI)
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 a considerable extent the continuous case can be obtained through a limiting process from the discrete case by dividing the continuum of messages and signals into a large but finite number of small regions and calculating the various parameters involved on a discrete basis. As the size of the regions is decreased these parameters in general approach as limits the proper values for the continuous case. There are, however, a few new effects that appear and also a general change of emphasis in the direction of specialization of the general results to particular cases.
Key Findings
1
As partition sizes decrease, discrete communication parameters generally converge to their appropriate continuous-case values.
2
Continuous communication cases can largely be derived as limits of discrete models by partitioning continua into increasingly small regions.
3
The continuous formulation introduces several new effects and shifts emphasis toward specialized results for particular cases.
4
The paper extends communication theory from discrete to continuously variable signals and messages.
Research Object
continuously variable signals and messages
Research Subject
the mathematical communication properties and limiting behavior of continuous signals and messages
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1948-10-01
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