Coding of Random Processes

Part of the Information Science and Statistics book series (ISS)


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.


Random Process Code Length Arithmetic Code Concatenation Code Prefix Code 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media, LLC 2007

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