• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

Concatenated Codes Based on Sparse Regression Codes

Student: Ananev Sergey

Supervisor: Fedor Ivanov

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Infocommunication Technologies and Systems (Bachelor)

Final Grade: 8

Year of Graduation: 2024

In this final qualifying project, cascades based on Sparse Regression Code are studied. During the course of this project, the basic principles of noise-resistant coding theory, the fundamentals of constructing, encoding, and decoding SPARC and LDPC code, as well as their cascading, were studied. Using the Matlab, Python3 and C++, we developed software that implements SPARC codes and their cascades. The resulting models were tested and analyzed. Based on the results, a conclusion was made about the feasibility of using such coding systems.

Full text (added May 16, 2024)

Student Theses at HSE must be completed in accordance with the University Rules and regulations specified by each educational programme.

Summaries of all theses must be published and made freely available on the HSE website.

The full text of a thesis can be published in open access on the HSE website only if the authoring student (copyright holder) agrees, or, if the thesis was written by a team of students, if all the co-authors (copyright holders) agree. After a thesis is published on the HSE website, it obtains the status of an online publication.

Student theses are objects of copyright and their use is subject to limitations in accordance with the Russian Federation’s law on intellectual property.

In the event that a thesis is quoted or otherwise used, reference to the author’s name and the source of quotation is required.

Search all student theses