LDPC Code Belief Propagation Decoding Algorithm Implementation

This represents a fundamental implementation of the LDPC code belief propagation decoding algorithm, particularly suitable for beginners studying error-correcting codes. The program demonstrates key aspects including parity check matrix representation, message initialization, iterative message passing between variable and check nodes, and hard decision making. During my own LDPC learning journey, this implementation served as an excellent reference for understanding the practical application of BP decoding. For those studying LDPC codes, I encourage collaborative learning and mutual progress. Beyond this basic implementation, consider supplementing your studies with additional resources such as research papers, textbooks, and video tutorials covering advanced topics like density evolution, min-sum approximations, and code optimization techniques. Through continuous learning and practical implementation, we can deepen our understanding of LDPC code principles and their applications in modern communication systems. Let's work together to enhance our knowledge and technical skills in channel coding!