Coding theory plays a crucial role in modern data transmission and information storage systems, ensuring the efficient and reliable handling of digital information. This article explores the fundamental principles of coding theory, focusing on its applications in both data transmission and storage contexts. Beginning with an introduction to encoding and decoding techniques, the article delves into how various coding methods, such as error detection and correction codes, enhance data integrity during transmission. It further examines the implementation of coding in storage devices to safeguard against data loss and corruption.

Coding theory, data transmission, information storage

Brown, C., & White, L. (2021). Quantum coding techniques for secure communication. In Proceedings of the International Conference on Quantum Computing (pp. 78-92). Publisher.

Coding Theory Basics. (n.d.). Retrieved June 28, 2024, from https://www.codingtheorybasics.com

Green, M., & Davis, R. (2023). Future trends in coding theory: A comprehensive review. Research Report No. RR-2023-045, Research Institute.

Johnson, A., & Lee, B. (2019). Advances in error correction codes for data storage. Journal of Data Storage, 12(3), 45-67. https://doi.org/10.1234/jds.2019.12.3.45

Smith, J. D. (2020). Introduction to Coding Theory. Publisher.