LDPC Performance Simulation: Analysis and Implementation
LDPC Performance Simulation with Code Implementation Insights
Explore MATLAB source code curated for "LDPC" with clean implementations, documentation, and examples.
LDPC Performance Simulation with Code Implementation Insights
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.
MATLAB implementation of LDPC decoding algorithm with 960-bit codeword length and 1/2 code rate, featuring complete FPGA hardware simulation and quantization processing.
This MATLAB simulation implements the Low-Density Parity-Check (LDPC) algorithm for AWGN channel conditions, featuring code demonstrations of parity-check matrix construction, iterative message-passing decoding, and BER performance analysis.
LDPC simulation with BPSK modulation over AWGN channel employing soft-decision sum-product algorithm - First implementation featuring BER analysis and performance evaluation
Implementation of Low-Density Parity-Check (LDPC) codes in MATLAB, including bit error rate simulation and girth calculation algorithms. This project was developed during a research assignment in Germany, featuring comprehensive BER analysis under various channel conditions and graph-based cycle detection methods.
A comprehensive LDPC low-density parity-check code demonstration package designed for beginners, featuring MATLAB-based implementation examples and practical coding exercises
Implementation of LDPC systematic matrix generation with error-correcting code techniques
A comprehensive LDPC simulation toolkit developed in MATLAB, featuring parity-check matrix construction, encoding modules, and decoding implementations with various algorithm options.
This MATLAB implementation features high-performance SCCPM and LDPC+CPM simulations incorporating LOG-MAP, SOVA, and LOG-BP algorithms. All codes are originally developed with optimized performance, each containing several hundred lines of efficient MATLAB programming. For technical inquiries, contact QQ: 905432530. Positive feedback is appreciated for satisfactory usage!