On the Design of a Quantizer for Coded Systems

E. Zehavi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


For any coded system the optimal decoder has to use a metric which is proportional to the log likelihood-ratio of the channel. To simplify the decoding process, the metric is required to have an additivity property, and to take on values from a finite set which are not always matched to the channel. The Generalized R, (GR) in this case is a function of the decoder set of memcs, the channel transition probabilities, and the partition of the received signal space to finite decision regions which is done by the quantizer. Here, an optimal quantizer, in the sense of maximizing GR, under metric constraint is derived. An iterative procedure for finding the optimal quantization boundaries is introduced.
Original languageAmerican English
Title of host publicationCommsphere
StatePublished - 1991

Bibliographical note

Place of conference:Israel


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