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Yury A. Kutoyants

dblp:70/6896 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2001
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Information theory · 33% Mathematical optimization · 33% Coding theory · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory › channel coding
error exponent		 0.012001
On minimal a-mean error parameter transmission over a Poisson channels · IEEE Trans. Inf. Theory 2001
Mathematical optimization
loss function		 0.012001
On minimal a-mean error parameter transmission over a Poisson channels · IEEE Trans. Inf. Theory 2001
Information theory › communication channels › channel models › optical channel
poisson channel		 0.012001
On minimal a-mean error parameter transmission over a Poisson channels · IEEE Trans. Inf. Theory 2001

Methods — techniques the papers use, named apart from their topics

minimax analysis · 0.0
YearPublicationVenuePosition
2001 On minimal a-mean error parameter transmission over a Poisson channels
abstract
We consider the problem of one-dimensional parameter transmission over a Poisson channel when the input signal (intensity) obeys a peak energy constraint. We show that it is possible to choose input signals and an estimator in such a way that the mean-square error of parameter transmission will decrease exponentially with transmission time T/spl rarr//spl infin/ and we find the best possible exponent. For more general loss functions of the type |x|/spl alpha/ we find the best possible exponent if /spl alpha//spl ges//spl alpha//sub 0/=(1+/spl radic/5)/2/spl ap/1.618. If 0</spl alpha/
Marat V. Burnashev, Yury A. Kutoyants
 IEEE Trans. Inf. Theory2