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P. DiCicco

dblp:83/1161 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1995
—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 · 87% Information theory · 13%

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

TopicWeightPapersLastEvidence papers
Coding theory › source coding › variable-length codes
error recovery
0.011995
More on the error recovery for variable-length codes · IEEE Trans. Inf. Theory 1995
Coding theory › source coding
variable-length codes
0.011995
More on the error recovery for variable-length codes · IEEE Trans. Inf. Theory 1995
Information theory › communication channels › channel models
noisy channel
0.011995
More on the error recovery for variable-length codes · IEEE Trans. Inf. Theory 1995

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

state model · 0.0
YearPublicationVenuePosition
1995 More on the error recovery for variable-length codes
abstract
Variable-length codes (e.g. Huffman codes) are commonly employed to minimize the average codeword length for noiseless encoding of discrete sources. Upon transmission over noisy channels, conflicting views note that such codes "tend to be self-synchronizing" and suffer from the "catastrophic effect of the error's propagation". Maxted and Robinson (1985) used a state model to describe the error recovery of the decoder. The present paper extends their results in several ways.
Peter F. Swaszek, P. DiCicco
IEEE Trans. Inf. Theory2