Algebraic Coding and Control Theory

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "A: Algebra and Logic".

Deadline for manuscript submissions: closed (31 March 2025) | Viewed by 1092

Special Issue Editor


E-Mail Website
Guest Editor
Department of Mathematics, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain
Interests: linear algebra; control theory; codes theory; neural networks theory

Special Issue Information

Dear Colleagues,

The algebraic coding theory studies the design of error-correcting codes for the reliable transmission of information across noisy channels. The interconnections between control theory and coding, which delve deep into the realm of linear dynamical systems, are not just surface-level. They are profound and widely recognized, adding a layer of intrigue to the study of these fields. In particular, the algebraic structure of convolution codes allows techniques from the theory of linear dynamical systems to be used. The connection between these concepts helps us understand these codes' properties better. More explicitly, this connection is because the concepts of controllability and observability of linear systems can be expressed within the convolutional codes as non-catastrophic characters.

Dr. Maria Isabel Garcia-Planas
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • algebraic coding theory
  • control theory
  • error-correcting codes
  • linear dynamical systems
  • convolutional codes

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

11 pages, 234 KiB  
Article
Decoding of MDP Convolutional Codes over the Erasure Channel under Linear Systems Point of View
by Maria Isabel García-Planas and Laurence E. Um
Mathematics 2024, 12(14), 2159; https://doi.org/10.3390/math12142159 - 10 Jul 2024
Viewed by 748
Abstract
This paper attempts to highlight the decoding capabilities of MDP convolutional codes over the erasure channel by defining them as discrete linear dynamical systems, with which the controllability property and the observability characteristics of linear system theory can be applied, in particular those [...] Read more.
This paper attempts to highlight the decoding capabilities of MDP convolutional codes over the erasure channel by defining them as discrete linear dynamical systems, with which the controllability property and the observability characteristics of linear system theory can be applied, in particular those of output observability, easily described using matrix language. Those are viewed against the decoding capabilities of MDS block codes over the same channel. Not only is the time complexity better but the decoding capabilities are also increased with this approach because convolutional codes are more flexible in handling variable-length data streams than block codes, where they are fixed-length and less adaptable to varying data lengths without padding or other adjustments. Full article
(This article belongs to the Special Issue Algebraic Coding and Control Theory)
Back to TopTop