Explore MATLAB source code curated for "编译码" with clean implementations, documentation, and examples.
Technical comparison between polar code encoding/decoding algorithms and Reed-Muller (RM) codes, discussing their implementation differences, error correction capabilities, and practical applications in modern communication systems.
This repository provides comprehensive MATLAB source code for complete LDPC (Low-Density Parity-Check) encoding and decoding operations. The implementation is highly suitable for communication system simulations and offers convenient integration capabilities with built-in parameter configuration and performance analysis functions.
This file contains complete TPC (Turbo Product Code) encoding and decoding programs, including Chase decoding algorithm implementation with detailed code structure explanations.
Comprehensive MATLAB implementation of (7,4) cyclic code encoding and decoding with matrix operations and CRC error correction algorithms
LDPC encoding and decoding source code with capabilities for generating arbitrary irregular binary parity-check matrices and performing LLR BP decoding algorithm
This MATLAB program implements Reed-Solomon error correction coding, specifically designed as a companion to Chen Wenli's book "Principles and Implementation Methods of RS Error Correction Coding." The code has been thoroughly debugged and verified for correct operation. The implementation includes key functions for RS encoding and decoding processes with detailed algorithm explanations.
BCH Code Encoding and Decoding Simulation Program - Directly executable in MATLAB environment
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
MATLAB program for convolutional code (2, 1, 3) encoding and decoding with clear explanation and implementation details
Using MATLAB software to implement encoding and decoding processes for cyclic codes, reproducing the steps of encoding and decoding, plotting relevant performance curves and waveform diagrams, with error detection and correction capabilities. The implementation includes parameter configuration, polynomial operations, and error handling algorithms.