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P. Almeida

6 papers hereh-index 5175 citations18 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author5
  • last author1

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.IT4
  • math.CO1
  • math.HO1
same name
  • P. Almeida — 5 papers, h 7
  • P. Almeida — 1 paper, h 3
  • P. Almeida — 1 paper, h 25
  • P. Almeida — 1 paper, h 2
  • P. Almeida — 1 paper, h 7
  • P. Almeida — 1 paper, h 9

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20132021
most citedSuperregular matrices over small finite fields

4 citations · 6 across the 3 of their papers we have counts for

collaborators
Showing cs.ITShow all

4 papers · 1 filter

cs.IT2020

Systematic Maximum Sum Rank Codes

Paulo Almeida, Umberto Martínez-Penas, Diego Napp

In the last decade there has been a great interest in extending results for codes equipped with the Hamming metric to analogous results for codes endowed with the rank metric. This…

cs.IT2019

Complete j-MDP convolutional codes

Paulo J. Almeida, Julia Lieb

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 convolut…

cs.IT2018

A new class of convolutional codes and its use in the McEliece Cryptosystem

P. Almeida, D. Napp

In this paper we present a new class of convolutional codes that admits an efficient al- gebraic decoding algorithm. We study some of its properties and show that it can decode int…

cs.IT2013★ 2 cited

A new class of superregular matrices and MDP convolutional codes

P. Almeida, D. Napp, R. Pinto

This paper deals with the problem of constructing superregular matrices that lead to MDP convolutional codes. These matrices are a type of lower block triangular Toeplitz matrices…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.