Encoding and Decoding of LDPC Low-Density Parity-Check Codes
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This article offers an in-depth exploration of the encoding and decoding principles and practical applications of LDPC (Low-Density Parity-Check) codes. It includes simulation results conducted under various channel models, which help enhance understanding of how encoding and decoding processes are implemented in communication systems. Additionally, the article presents case studies from real-world applications, demonstrating the utilization of LDPC codes across different domains. From an implementation perspective, LDPC encoding typically involves generating sparse parity-check matrices and using algorithms like belief propagation for decoding, where key functions include iterative message passing between variable and check nodes. The article aims to provide readers with thorough and profound insights to facilitate further exploration and learning of LDPC code applications.
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