Abstract
Up to this point we have considered encoding data modeled as outcomes of random variables, which are defined by an alphabet and a single probability distribution. When such a distribution is sampled repeatedly, we actually generate data by an iid (independent identically distributed) random process. A much more important way to model data sequences is to consider them as samples from a general random process, which we discuss next.
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© 2007 Springer Science+Business Media, LLC
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(2007). Coding of Random Processes. In: Information and Complexity in Statistical Modeling. Information Science and Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-68812-1_3
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DOI: https://doi.org/10.1007/978-0-387-68812-1_3
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-36610-4
Online ISBN: 978-0-387-68812-1
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