Abstract
In Chapter 9, the continuous signal was constructed as the limiting case of a discrete signal, when the increments approach zero. The statistical properties of a continuous signal were defined in terms of probability density. The same approach can be used with the measure of information transmitted by a continuous signal, or as it is called in electronics, an analog signal.
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Reference
Shannon interprets the discrete entropy as “uncertainty”, but in the sequel he calls the continuous entropy (Section 10.2) “continuous information” Shannon, 1949, Chapter III.
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© 2002 Springer Science+Business Media New York
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Kåhre, J. (2002). Continuous Information. In: The Mathematical Theory of Information. The Springer International Series in Engineering and Computer Science, vol 684. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0975-2_10
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DOI: https://doi.org/10.1007/978-1-4615-0975-2_10
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-5332-4
Online ISBN: 978-1-4615-0975-2
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