Explore MATLAB source code curated for "校验矩阵" with clean implementations, documentation, and examples.
This code implements mutual conversion between check matrices and generator matrices over Galois fields, supporting linear block code transformations with enhanced mathematical operations.
Implementation of MadHG method for constructing LDPC check matrix H with row weight 6, column weight 3, and row count half of column count (preferably larger row numbers). The algorithm ensures no girth-4 cycles between any two columns in H and produces corresponding generator matrix G satisfying mod(G*H, 2)=0. Function call: [H, G] = MadHG(m, n, x), where x=1 yields identity matrix in left half of G, x=2 in right half.
A flexible LDPC irregular binary parity-check matrix generation function capable of producing parity-check matrices with arbitrary specifications and dimensions, suitable for various communication system implementations.
This MATLAB-based tool generates parity-check matrices compliant with digital television ground broadcasting standards, featuring LDPC code implementation with customizable parameters for error detection and correction schemes.
A comprehensive LDPC simulation toolkit developed in MATLAB, featuring parity-check matrix construction, encoding modules, and decoding implementations with various algorithm options.
Simulation process of encoding and decoding using Mackey1's randomly constructed LDPC parity-check matrix, implementing the belief propagation algorithm for decoding with code structure explanations
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.
This project provides a complete MATLAB implementation of the min-sum algorithm (MSA) for LDPC decoding. The codebase includes comprehensive modules for random parity-check matrix generation, random message creation, encoding, noisy channel simulation, decoding, and data logging. Users can customize parameters such as parity-check matrix dimensions and channel error rates to facilitate LDPC code experimentation and principle verification. The implementation features automated result export to minsumdata.xlsx in the working directory, ensuring data persistence and preventing loss after each execution.
LDPC code decoding using Min-Sum algorithm, including implementation of parity-check matrix H construction
Conversion Methods Between Parity Check and Generator Matrices with Code Implementation Insights