MATLAB Simulation Program for LDPC Codes

This document presents a comprehensive MATLAB simulation program for Low-Density Parity-Check (LDPC) codes. The implementation features highly flexible code structures supporting various encoding/decoding scenarios through configurable parameters. Key components include: - Matrix generation algorithms for creating sparse parity-check matrices - Belief Propagation (BP) decoding implementation with iterative message passing - Error rate calculation modules with Monte Carlo simulation capabilities The program efficiently handles moderately sized information sequences while maintaining computational accuracy and high-fidelity simulation results. Notable technical features include: - Optimized sparse matrix operations for reduced memory usage - Configurable iteration thresholds and convergence criteria - Real-time performance metrics visualization This toolkit proves particularly valuable for researchers and engineers conducting in-depth analysis of LDPC code performance under different channel conditions. Whether for academic research or practical engineering applications, this simulation environment provides robust support for studying code optimization, decoding algorithms, and error correction capabilities. The modular design allows easy extension to accommodate custom encoding schemes and channel models, making it suitable for both educational purposes and professional development in coding theory.