Abstract
An information source or source is a mathematical model for a physical entity that produces a succession of symbols called “outputs” in a random manner. The symbols produced may be real numbers such as voltage measurements from a transducer, binary numbers as in computer data, two dimensional intensity fields as in a sequence of images, continuous or discontinuous waveforms, and so on. The space containing all of the possible output symbols is called the alphabet of the source and a source is essentially an assignment of a probability measure to events consisting of sets of sequences of symbols from the alphabet. It is useful, however, to explicitly treat the notion of time as a transformation of sequences produced by the source. Thus in addition to the common random process model we shall also consider modeling sources by dynamical systems as considered in ergodic theory.
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© 1990 Springer Science+Business Media New York
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Gray, R.M. (1990). Information Sources. In: Entropy and Information Theory. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3982-4_1
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DOI: https://doi.org/10.1007/978-1-4757-3982-4_1
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4757-3984-8
Online ISBN: 978-1-4757-3982-4
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