Source Coding with a Distortion Measure
Many of the sources encountered in communication theory produce waveforms, pictures, or a sequence of analogue variables as their output. These can not be recreated exactly at the destination and often much of the detail in the source output is irrelevant. Thus, in defining how effective the communication is, it is necessary to define a distortion measure between the source output and the received message and to evaluate the effectiveness of the communication in terms of the expected value of that distortion.
KeywordsSource Code Mutual Information Code Word Average Mutual Information Probability Assignment
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