Abstract
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 R0 (GR) in this case is a function of the decoder set of metrics, 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 language | English |
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Title of host publication | Proceedings - 1991 IEEE International Symposium on Information Theory, ISIT 1991 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 36 |
Number of pages | 1 |
ISBN (Electronic) | 0780300564 |
DOIs | |
State | Published - 1991 |
Externally published | Yes |
Event | 1991 IEEE International Symposium on Information Theory, ISIT 1991 - Budapest, Hungary Duration: 24 Jun 1991 → 28 Jun 1991 |
Publication series
Name | IEEE International Symposium on Information Theory - Proceedings |
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ISSN (Print) | 2157-8095 |
Conference
Conference | 1991 IEEE International Symposium on Information Theory, ISIT 1991 |
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Country/Territory | Hungary |
City | Budapest |
Period | 24/06/91 → 28/06/91 |
Bibliographical note
Publisher Copyright:© 1991 Institute of Electrical and Electronics Engineers Inc. All rights reserved.