Study comparing decoding algorithms for low-density parity-check codes

Abstract

In the world of telecommunications and data transmission, encoding plays a vital role in ensuring the safety and understanding of transmitted data. Encoding also allows for data to be converted into a more understandable form and to be kept safe during transmission. There are different types of codes used in various contexts, including Low Density Parity Check (LDPC) codes, which provide an innovative and efficient solution for improving the quality and security of digital communications, making them an essential part of error correction and modern communication techniques.

In the world of telecommunications and data transmission, encoding plays a vital role in ensuring the safety and understanding of transmitted data. Encoding also allows data to be converted into a more understandable form and to be kept safe during transmission. There are different types of codes used in various contexts, including Low Density Parity Check (LDPC) codes, which provide an innovative and efficient solution for improving the quality and security of digital communications, making them an essential part of error correction and modern communication techniques. They are used in advanced communication standards such as Wi-Fi and 5G to improve the speed and stability of connections. This research aims to clarify the most important comparison criteria between two decoding algorithms for LDPC codes, using

the Bit Flipping (BF) and Belief Propagation (BP) methods. These criteria include error correction, encoding channel, performance, and memory usage.