Capacity-Achieving Guessing Random Additive Noise Decoding
We introduce a new algorithm for realizing maximum likelihood (ML) decoding for arbitrary codebooks in discrete channels with or without memory, in which the receiver rank-orders noise sequences from most likely to least likely. Subtracting noise from the received signal in that order, the first ins...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE),
2021-02-08T16:08:16Z.
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| Subjects: | |
| Online Access: | Get fulltext |