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Paulo José Fernandes Almeida

dblp:175/1129 · DBLP profile ↗
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3ranked-venue papers
3as first author
1since 2021 · last 2021
0000-0001-7282-9983ORCID · reported

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

Security and privacy · 2 · 2 first-author · 1 since 2021Theory of computation · 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 · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory › error-correcting codes
convolutional codes
0.412020
Complete j-MDP Convolutional Codes · IEEE Trans. Inf. Theory 2020
Coding theory › error-correcting codes › decoding › channel decoding
erasure decoding
0.412020
Complete j-MDP Convolutional Codes · IEEE Trans. Inf. Theory 2020
Coding theory › error-correcting codes › convolutional codes › distance profile
maximum distance profile codes
0.412020
Complete j-MDP Convolutional Codes · IEEE Trans. Inf. Theory 2020
Coding theory › finite fields
finite field construction
0.112020
Complete j-MDP Convolutional Codes · IEEE Trans. Inf. Theory 2020

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

computer search · 0.4MAPLE · 0.4
YearPublicationVenuePosition
2021 A new rank metric for convolutional codes
Paulo José Fernandes Almeida, Diego Napp Avelli
Des. Codes Cryptogr.1
2020 Complete j-MDP Convolutional Codes
abstract
Maximum distance profile (MDP) convolutional codes have been proven to be very suitable for transmission over an erasure channel. In addition, the subclass of complete MDP convolutional codes has the ability to restart decoding after a burst of erasures. However, there is a lack of constructions of these codes over fields of small size. In this article, we introduce the notion of complete 3-MDP convolutional codes, which are a generalization of complete MDP convolutional codes, and describe their decoding properties. In particular, we present a decoding algorithm for decoding erasures within a given time delay T and show that complete T-MDP convolutional codes are optimal for this algorithm. Moreover, using a computer search with the MAPLE software, we determine the minimal binary and non-binary field size for the existence of (2, 1, 2) complete 3-MDP convolutional codes and provide corresponding constructions. We give a description of all (2, 1, 2) complete MDP convolutional codes over the smallest possible fields, namely F13and F16and we also give constructions for (2, 1, 3) complete 4-MDP convolutional codes over F128obtained by a randomized computer search.
Paulo José Fernandes Almeida, Julia Lieb
IEEE Trans. Inf. Theory1
2018 MDS 2D convolutional codes with optimal 1D horizontal projections
Paulo José Fernandes Almeida, Diego Napp Avelli, Raquel Pinto
Des. Codes Cryptogr.1