On the optimality of symbol-by-symbol filtering and denoising
Copyright policy ) E. Ordentlich; T. Weissman;
On the optimality of symbol-by-symbol filtering and denoising
This paper describes the optimality of symbol by symbol filtering and denoising and considers the problem of optimally recovering a discrete-time valued stochastic process from a noisy observation process. For binary Markov input process singlet filtering and denoising are optimal. Finally, for the case of memoryless channel, large deviations performance of singlet filtering is obtained.
- Hewlett-Packard (United States) United States
- Stanford University United States
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selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 29
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