A new method for erasure decoding of convolutional codes
Abstract 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 convolutional codes in opposite to the classic approach using the parity-check matrix. We compare the performance of both decoding algorithms. Moreover, we enlarge the family of optimal convolutional codes (complete-MDP) based on the generator matrix.
Authors
- Raquel Pinto (ORCID: https://orcid.org/0000-0002-8168-4023)
- Julia Lieb (ORCID: https://orcid.org/0000-0003-4211-1596)
- Carlos Vela (ORCID: https://orcid.org/0000-0003-3362-8817)
Institutions
- Technische Universität Ilmenau (DE)
- University of St.Gallen (CH)
- University of Applied Sciences St. Gallen (CH)
- University of Aveiro (PT)
Publication Details
- Journal
- Designs Codes and Cryptography
- Published
- 2025-04-03
- DOI
- https://doi.org/10.1007/s10623-025-01623-x
- Citations
- 1
- Primary Topic
- Error Correcting Code Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.49
Funders
- Universität St. Gallen
- Deutsche Forschungsgemeinschaft
- Center for Research and Development in Mathematics and Applications
- Fundação para a Ciência e a Tecnologia