activity
20232026
collaborators

6 papers

cs.IT2026

Pseudo-MDP Convolutional Codes for Burst Erasure Correction

Zita Abreu, Julia Lieb, Raquel Pinto

Convolutional codes are a class of error-correcting codes that performs very well over erasure channels with low delay requirements. In particular, Maximum Distance Profile (MDP) c…

cs.IT2024

Algorithms for Computing the Free Distance of Convolutional Codes

Zita Abreu, Joachim Rosenthal, Michael Schaller

The free distance of a convolutional code is a reliable indicator of its performance. However its computation is not an easy task. In this paper, we present some algorithms to comp…

cs.IT2024

An Improved Viterbi Algorithm for a Class of Optimal Binary Convolutional Codes

Zita Abreu, Julia Lieb, Michael Schaller

The most famous error-decoding algorithm for convolutional codes is the Viterbi algorithm. In this paper, we present a new reduced complexity version of this algorithm which can be…

cs.IT2023

A new construction of an MDS convolutional code of rate 1/2

Zita Abreu, Raquel Pinto, Rita Simões

Maximum distance separable convolutional codes are characterized by the property that the free distance reaches the generalized Singleton bound, which makes them optimal for error…

cs.IT2023

Binary convolutional codes with optimal column distances

Zita Abreu, Julia Lieb, Joachim Rosenthal

There exists a large literature of construction of convolutional codes with maximal or near maximal free distance. Much less is known about constructions of convolutional codes hav…

cs.IT2023

Criteria for the construction of MDS convolutional codes with good column distances

Zita Abreu, Julia Lieb, Raquel Pinto +1

Maximum-distance separable (MDS) convolutional codes are characterized by the property that their free distance reaches the generalized Singleton bound. In this paper, new criteria…