Article 1224

Title of the article

METHODS FOR IMPROVING THE PERFORMANCE OF DECODING STREAMING DATA BASED ON THE REED – SOLOMON CODE 

Authors

Mikhail Yu. Zvyozdochkin, Leading designer, Branch of the Progress Rocket and Space Center Joint Stock Company – Specter Special Design Bureau (59a Gagarina street, Ryazan, Russia), E-mail: mikhail@zvyozdochkin.ru
Valentin V. Mironov, Doctor of physical and mathematical sciences, professor, professor of the sub-department of higher mathematics, Ryazan State Radio Engineering University named after V.F. Utkin, director of the laboratory of system analysis, leading researcher, Photon Research Institute for Space Image Processing (59/1 Gagarina street, Ryazan, Russia), E-mail: mironov1vv@mail.ru 

Abstract

Background. Decoding information using noise-tolerant Reed–Solomon codes is a very resource-intensive task in part of calculation imlpementation. This problem is especially relevant when video streams or telemetry decoding on the fly, in a time mode close to real time. Matherials and methods. The article discusses two methods of optimal organization of Reed – Solomon decoding. First method is a decoding into several computational streams, some processor threads using. Second method is an artificially reducing the number of errors corrected by the Reed–Solomon code to reduce calculation time. Results. The experimental verification of these methods is considered. Recommendations for their application, both separate and joint, are given. Conclusions. Methods can be used in video streaming processing systems. Processing system must allow use either both method or one selected by operator. 

Key words

video signal, video streaming, digital video signal distortion, error control codes 

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For citation

Zvyozdochkin M.Yu., Mironov V.V. Methods for improving the performance of decoding streaming data based on the Reed – Solomon code. Nadezhnost' i kachestvo slozhnykh sistem = Reliability and quality of complex systems. 2024;(2):5–14. (In Russ.). doi: 10.21685/2307-4205-2024-2-1 

 

Дата создания: 23.05.2024 12:30
Дата обновления: 23.05.2024 12:51