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• W14366476 abstract "When a communication code is known sufficiently, the average entropy (potential information) of signals can be calculated quantitatively and expressed as a logarithmic measure in bits per signal. The information is independent of the signals’ physical forms, the qualitative kind of message conveyed, and the species of the sender and receiver. As information is diverse, the amount a system can encode depends upon the number of alternative signals and their relative frequencies of occurrence. Information is maximum when the signals are equiprobable. The key to determining information content is understanding the code of how signals stand for their referents." @default.
• W14366476 created "2016-06-24" @default.
• W14366476 creator A5067201722 @default.
• W14366476 date "2010-01-01" @default.
• W14366476 modified "2023-09-23" @default.
• W14366476 title "Information Content and Signals" @default.
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• W14366476 doi "https://doi.org/10.1016/b978-0-08-045337-8.00019-x" @default.
• W14366476 hasPublicationYear "2010" @default.
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