Explore MATLAB source code curated for "编码解码" with clean implementations, documentation, and examples.
Comprehensive step-by-step guide to OFDM simulation including signal source generation, channel modeling, encoding/decoding techniques, and three channel estimation methods (LS, MMSE, SVD) with code implementation approaches
This comprehensive article written by a researcher details the principles and implementation methods of RS error correction coding, including complete software implementation approaches for both encoding and decoding processes. The material is accompanied by practical MATLAB simulation programs that demonstrate key algorithms such as Reed-Solomon encoding using generator polynomials and decoding through syndromes calculation and error location. Considered one of the most classic explanations of RS codes available.
Implementation of convolutional code encoding and decoding for data streams, including performance analysis and accompanying puncture code segment.
MATLAB source code implementation for LDPC (Low-Density Parity-Check) encoding and decoding algorithms
A comprehensive 2x2 spatial multiplexing MIMO simulation implementing complete communication system components including encoding/decoding, modulation/demodulation, noisy channel modeling, accompanied by detailed documentation files explaining the simulation framework and parameters.
Implementation Background: LDPC (Low-Density Parity Check) codes are specialized linear block codes characterized by sparse parity-check matrices where the number of "1"s is significantly fewer than "0"s. Key technical requirements include row/column weight constraints and minimal overlap between rows/columns. This MATLAB implementation involves constructing sparse parity matrices and features multiple decoding approaches including message-passing algorithms with both MATLAB-native and optimized C-based implementations.