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Kobi Ravid

dblp:151/4619 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2014
—ORCID · none

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

Computer networks · 1 · 1 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
1 paper
Coding theory · 93% Computational complexity · 7%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory › error-correcting codes › decoding
iterative decoding
0.212014
MER: Mixed Error Reduction Approach for Soft-Decision Decoding of Product Block Codes · IEEE Trans. Commun. 2014
Coding theory › error-correcting codes › block codes
product codes
0.212014
MER: Mixed Error Reduction Approach for Soft-Decision Decoding of Product Block Codes · IEEE Trans. Commun. 2014
Coding theory › error-correcting codes › decoding
soft-decision decoding
0.212014
MER: Mixed Error Reduction Approach for Soft-Decision Decoding of Product Block Codes · IEEE Trans. Commun. 2014
Coding theory › error-correcting codes › decoding › iterative decoding
soft-input soft-output decoding
0.212014
MER: Mixed Error Reduction Approach for Soft-Decision Decoding of Product Block Codes · IEEE Trans. Commun. 2014
Computational complexity
error reduction
0.112014
MER: Mixed Error Reduction Approach for Soft-Decision Decoding of Product Block Codes · IEEE Trans. Commun. 2014

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

word-error-rate reduction · 0.2bit-error-rate reduction · 0.2
YearPublicationVenuePosition
2014 MER: Mixed Error Reduction Approach for Soft-Decision Decoding of Product Block Codes
abstract
A Mixed Error Reduction (MER) scheme is presented for soft-decision decoding of binary product block codes. The MER scheme is realized by combining two algorithms having different performance objectives: bit-error-rate (BER) reduction followed by word-error-rate (WER) reduction. BER reduction is achieved by employing soft-in soft-out, possibly iterative, algorithm whose aim here is to improve the residual signal-to-noise ratio with each iteration. For WER reduction a two-step, soft-in hard-out, sub-optimal algorithm for decoding product codes is presented. This decoding algorithm guarantees correct decoding (at least) up to half the minimum Euclidean distance of the product code. The MER scheme exhibits good WER, as well as BER performance, with low computational burden.
Kobi Ravid, Ofer Amrani
IEEE Trans. Commun.1