Source Coding with a Distortion Measure

  • Robert Gallager
Part of the International Centre for Mechanical Sciences book series (CISM, volume 30)


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.


Source Code Mutual Information Code Word Average Mutual Information Probability Assignment 
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Copyright information

© Springer-Verlag Wien 1972

Authors and Affiliations

  • Robert Gallager
    • 1
  1. 1.Massachusetts Institute of TechnologyCambridgeUSA

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