Explore MATLAB source code curated for "ldpc码" with clean implementations, documentation, and examples.
LDPC Code Parity Check Matrix Generation Function enables the creation of corresponding parity check matrices based on degree distribution specifications, particularly suitable for LDPC codes with very long code lengths. The implementation typically involves algorithms for constructing sparse matrices that satisfy degree constraints while maintaining girth properties to ensure decoding performance.
Simulation of LDPC codes in MATLAB environment with suggestions for further improvements and implementation details.
A comprehensive MATLAB simulation of LDPC code encoding and decoding with practical implementation examples and performance analysis
A highly optimized 2048x4096 generator matrix for LDPC binary regular codes, demonstrating exceptional error-correction performance
Comprehensive analysis of five distinct encoding algorithms for LDPC code generator matrices, including detailed comparisons and implementation approaches using key matrix operations and iterative techniques.
A verified LDPC code encoding and decoding program developed in MATLAB, implementing LU decomposition for efficient encoding and Belief Propagation (BP) algorithm for iterative decoding, featuring optimized performance through extensive debugging and validation.
Classical Belief Propagation (BP) decoding program for LDPC codes, successfully implemented in MATLAB environment with full functionality
This is a foundational implementation of the LDPC code belief propagation (BP) decoding algorithm, offering significant reference value for beginners. The code provides a practical demonstration of message passing techniques and iterative decoding procedures, making it ideal for understanding core LDPC concepts. I personally referenced this implementation during my initial LDPC studies and hope it benefits fellow learners in their exploration of channel coding techniques.
Comparative analysis of various LDPC decoding algorithms using a code length of 512 and code rate 1/2, with implementation insights for iterative and Min-Sum algorithms.
MATLAB program implementing Gallager's regular LDPC code construction method proposed in 1962, designed to generate corresponding LDPC parity-check matrices. The program accepts code length, column weight, and row weight as input parameters to produce specific matrices through systematic matrix generation algorithms including row-weight distribution and column constraint validation.