LDPC Code Encoding and Decoding Implementation

I strongly recommend this MATLAB-based LDPC code encoding and decoding program for beginners to study and reference. This implementation effectively demonstrates the complete workflow of LDPC encoding and decoding processes through practical code examples. The program includes key algorithm implementations such as generator matrix construction using sparse matrix operations, parity check matrix generation, and iterative decoding algorithms like belief propagation or min-sum algorithms. Through this program, beginners can learn how to implement core LDPC encoding techniques including matrix multiplication for codeword generation and decoding methods that involve message passing between variable and check nodes. The code structure allows users to experiment with different parameters such as code rate, block length, and iteration counts to observe their impact on performance metrics like bit error rate. Since the program is developed in MATLAB, beginners can easily run and modify the code using MATLAB's computational environment. The implementation leverages MATLAB's efficient matrix operations for handling sparse parity check matrices and includes visualization capabilities for tracking decoding convergence. This hands-on approach helps learners better understand and master LDPC coding techniques through practical experimentation with adjustable algorithm parameters and real-time performance monitoring.