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cs.IT2025
Information-Set Decoding for Convolutional Codes
Niklas Gassner, Julia Lieb, Abhinaba Mazumder +1
In this paper, we present a framework for generic decoding of convolutional codes, which allows us to do cryptanalysis of code-based systems that use convolutional codes. We then a…
cs.IT2025
A new method for erasure decoding of convolutional codes
Julia Lieb, Raquel Pinto, Carlos Vela
In this paper, we propose a new erasure decoding algorithm for convolutional codes using the generator matrix. This implies that our decoding method also applies to catastrophic co…
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…