A single-letter upper bound on the feedback capacity of unifilar finite-state channels
Publication
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Sabag, O; Permuter, HH; Pfister, HD
Published in: IEEE International Symposium on Information Theory - Proceedings
August 10, 2016
A single-letter upper bound on the feedback capacity of a unifilar finite-state channel is derived. The upper bound is tight for all cases where the feedback capacity is known. Its efficiency is also demonstrated by direct application of the bound on the dicode erasure channel, which results in a new capacity result. The bound is based on a new technique, called the Q-contexts mapping, where the channel outputs are recursively quantized to a finite set, called the contexts set.
Duke Scholars
Published In
IEEE International Symposium on Information Theory - Proceedings
DOI
ISSN
2157-8095
Publication Date
August 10, 2016
Volume
2016-August
Start / End Page
310 / 314
Citation
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ICMJE
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Sabag, O., Permuter, H. H., & Pfister, H. D. (2016). A single-letter upper bound on the feedback capacity of unifilar finite-state channels. In IEEE International Symposium on Information Theory - Proceedings (Vol. 2016-August, pp. 310–314). https://doi.org/10.1109/ISIT.2016.7541311
Sabag, O., H. H. Permuter, and H. D. Pfister. “A single-letter upper bound on the feedback capacity of unifilar finite-state channels.” In IEEE International Symposium on Information Theory - Proceedings, 2016-August:310–14, 2016. https://doi.org/10.1109/ISIT.2016.7541311.
Sabag O, Permuter HH, Pfister HD. A single-letter upper bound on the feedback capacity of unifilar finite-state channels. In: IEEE International Symposium on Information Theory - Proceedings. 2016. p. 310–4.
Sabag, O., et al. “A single-letter upper bound on the feedback capacity of unifilar finite-state channels.” IEEE International Symposium on Information Theory - Proceedings, vol. 2016-August, 2016, pp. 310–14. Scopus, doi:10.1109/ISIT.2016.7541311.
Sabag O, Permuter HH, Pfister HD. A single-letter upper bound on the feedback capacity of unifilar finite-state channels. IEEE International Symposium on Information Theory - Proceedings. 2016. p. 310–314.
Published In
IEEE International Symposium on Information Theory - Proceedings
DOI
ISSN
2157-8095
Publication Date
August 10, 2016
Volume
2016-August
Start / End Page
310 / 314