Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

John J. Matzner

dblp:247/6759 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 1994
—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
error-correcting codes
0.011994
Performance of a general decoding technique over the class of randomly chosen parity check codes · IEEE Trans. Inf. Theory 1994
Coding theory › error-correcting codes › block codes › linear code
parity-check codes
0.011994
Performance of a general decoding technique over the class of randomly chosen parity check codes · IEEE Trans. Inf. Theory 1994

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

random code ensemble analysis · 0.0metzner-kapturowski decoding · 0.0
YearPublicationVenuePosition
1994 Performance of a general decoding technique over the class of randomly chosen parity check codes
abstract
The paper extends a general decoding technique developed by Metzner and Kapturowski (1990) for concatenated code outer codes and for file disagreement location. That work showed the ability to correct most cases of d-2 or fewer erroneous block symbols, where d is the outer code minimum distance. Any parity check code can be used as the basis for the outer codes, and yet decoding complexity increases at most as the third power of the code length. In this correspondence, it is shown that, with a slight modification and no significant increase in complexity, the general decoding technique can be applied to the correction of many other cases beyond the code minimum distance. By considering average performance over all binary randomly chosen codes, it is seen that most error patterns of t/sub M/ or fewer block errors can be corrected, where: 1) t/sub M/ in most cases is much greater than the code minimum distance, and 2) asymptotically, the ratio of t/sub M/ to the theoretical maximum (the number of parity symbol blocks) approaches 1. Moreover, most cases of noncorrectable error block patterns are detected.>
Kyung T. Oh, John J. Matzner
IEEE Trans. Inf. Theory2