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Marina P. Sharova

dblp:22/6675 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1999
—ORCID · none

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
Coding theory · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory
source coding
0.011999
Fast coding of low-entropy sources · IEEE Trans. Inf. Theory 1999
Coding theory › source coding › lossless compression
run-length coding
0.011999
Fast coding of low-entropy sources · IEEE Trans. Inf. Theory 1999

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

run-length coding · 0.0
YearPublicationVenuePosition
1999 Fast coding of low-entropy sources
abstract
The problem of coding low-entropy information sources is considered. Since the run-length code was offered about 50 years ago by Shannon, it is known that for such sources there exist coding methods much simpler than for sources of a general type. However, known coding methods of low-entropy sources do not reach the given redundancy. In this correspondence, a new method of coding low-entropy sources is offered. It permits a given redundancy r with almost the same encoder and decoder memory size as that obtained by Ryabko (see ibid., vol.40, p.96-9, 1994) for general methods, while encoding and decoding much faster.
Boris Ryabko, Marina P. Sharova
IEEE Trans. Inf. Theory2