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Charles V. Freiman

dblp:79/4262 · DBLP profile ↗
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7ranked-venue papers
5as first author
0since 2021 · last 1965
—ORCID · none

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

Theory of computation · 7 · 5 first-author

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
7 papers
Coding theory · 100%

Topics — the 12 heaviest of 12, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory
error-correcting codes
0.041965
A comparison of block and recurrent codes for the correction of independent errors (Corresp.) · IEEE Trans. Inf. Theory 1965
Upper bounds for fixed-weight codes of specified minimum distance (Corresp.) · IEEE Trans. Inf. Theory 1964
Multi-error correcting codes for a binary asymmetric channel · IRE Trans. Inf. Theory 1959
Coding theory › error-correcting codes
asymmetric channels
0.021963
On the use of coset codes in asymmetric channels (Corresp.) · IEEE Trans. Inf. Theory 1963
Optimal Error Detection Codes for Completely Asymmetric Binary Channels · Inf. Control. 1962
Coding theory › error-correcting codes
asymmetric error-correcting codes
0.021959
Multi-error correcting codes for a binary asymmetric channel · IRE Trans. Inf. Theory 1959
Single error-correcting codes for asymmetric binary channels · IRE Trans. Inf. Theory 1959
Coding theory › error-correcting codes
block codes
0.011964
Optimum Block Codes for Noiseless Input Restricted Channels · Inf. Control. 1964
Coding theory › error-correcting codes › coding bounds
code size bounds
0.011964
Upper bounds for fixed-weight codes of specified minimum distance (Corresp.) · IEEE Trans. Inf. Theory 1964
Coding theory › error-correcting codes
constant-weight codes
0.011964
Upper bounds for fixed-weight codes of specified minimum distance (Corresp.) · IEEE Trans. Inf. Theory 1964
Coding theory › error-correcting codes
convolutional codes
0.011965
A comparison of block and recurrent codes for the correction of independent errors (Corresp.) · IEEE Trans. Inf. Theory 1965
Coding theory › error-correcting codes
coset codes
0.011963
On the use of coset codes in asymmetric channels (Corresp.) · IEEE Trans. Inf. Theory 1963
Coding theory › constrained coding
constrained channel
0.011964
Optimum Block Codes for Noiseless Input Restricted Channels · Inf. Control. 1964
Coding theory › error-correcting codes
error detection
0.011962
Optimal Error Detection Codes for Completely Asymmetric Binary Channels · Inf. Control. 1962
Coding theory › error-correcting codes › error detection and correction
multiple error correction
0.011959
Multi-error correcting codes for a binary asymmetric channel · IRE Trans. Inf. Theory 1959
Coding theory › error-correcting codes
single-error-correcting codes
0.011959
Single error-correcting codes for asymmetric binary channels · IRE Trans. Inf. Theory 1959

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

minimum distance analysis · 0.0comparative analysis · 0.0combinatorial bounds · 0.0
YearPublicationVenuePosition
1965 A comparison of block and recurrent codes for the correction of independent errors (Corresp.)
Charles V. Freiman, John P. Robinson
IEEE Trans. Inf. Theory1
1964 Optimum Block Codes for Noiseless Input Restricted Channels
Charles V. Freiman, Aaron D. Wyner
Inf. Control.1
1964 Upper bounds for fixed-weight codes of specified minimum distance (Corresp.)
Charles V. Freiman
IEEE Trans. Inf. Theory1
1963 On the use of coset codes in asymmetric channels (Corresp.)
Charles V. Freiman
IEEE Trans. Inf. Theory1
1962 Optimal Error Detection Codes for Completely Asymmetric Binary Channels
Charles V. Freiman
Inf. Control.1
1959 Single error-correcting codes for asymmetric binary channels
abstract
In a highly-asymmetric binary channel it may be necessary to correct only those errors which result from incorrect transmission of one of the two code elements. Minimum weight-distance relationships and rules for generating single-error correcting codes in such situations are given. More code characters are generally obtained for a given character length than are obtained with codes designed for single-error correction in symmetric channels. Examples are given, including one which specifies the code which results in the highest average probability of correct transmission of equiprobable messages through a highly-asymmetric channel.
Wan H. Kim, Charles V. Freiman
IRE Trans. Inf. Theory2
1959 Multi-error correcting codes for a binary asymmetric channel
abstract
In an asymmetric binary channel, it may be sufficient to correct single O-errors and detect double 0-errors, for example, while correcting double 1-errors and detecting quadruple 1-errors. (A double 1-error is said to occur when two of the l's of an input code character are delivered as O's at the output of the channel.) Minimum distance requirements are given for pairs of code characters of a code which correctsk-tuple 1-errors, detects(k+a)-tuple 1-errors, correctsj-tuple 0-errors, and detects(j+b)-tuple O-errors(k,a,j, andb, are non-negative integers withk > janda \geq b). These requirements are weaker than those for a symmetricalk-tuple error correcting,(k+a)-tuple error detecting, code and hence may be used to generally obtain more code characters for a given character length than are obtainable in thek, (k+a)-case. If the channel is highly asymmetric, it may be sufficient to detect and correct only one type of error. An earlier paper considered the case of single 1-error correction and showed that it was always possible to obtain more code characters than exist in known single error correcting codes of equivalent character length except in cases where the symmetric code is "close-packed." In this paper codes are developed fork-tuple 1-error correction which also yield more code characters than symmetricalk-tuple error correcting codes of the same length. The correction scheme is generally symbol-correcting, but may require message-correction of binary sequences whose length is approximately(k+l)^{-1}that of the code characters. A double 1-error correcting code is discussed in some detail and examples of code generation and correction are included.
Wan H. Kim, Charles V. Freiman
IRE Trans. Inf. Theory2