Explore MATLAB source code curated for "编译码" with clean implementations, documentation, and examples.
This source code simulates encoding/decoding performance under erasure channels, incorporating practical development experience and learning insights, providing high reference value with detailed algorithm implementations and comparative analysis.
Complete implementation of (2,1,3) convolutional code encoding and decoding with comprehensive line-by-line code comments for enhanced readability
MATLAB code for encoding and decoding algorithms of non-binary LDPC codes, featuring implementation details, key functions, and performance optimization techniques.
Modern generalized Turbo codes refer to encoding/decoding schemes employing concatenated or product coding methods combined with iterative decoding algorithms. The core concept involves decomposing complex long decoding processes into simpler iterative steps, where probabilistic information transfer or soft-information exchange between iterations minimizes information loss. This paper classifies Turbo codes based on constituent codes and concatenation methods, and provides MATLAB implementations with GUI design for encoding/decoding experiments. (Copyrighted material - for reference only)
MATLAB simulation of channel coding implementation, featuring improved bit error rate characteristics through enhanced encoding/decoding algorithms, with complete signal processing chain: signal generation → outer encoding → inner encoding → channel transmission → inner decoding → outer decoding
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.
Implementation of polar code encoding and decoding under AWGN channel, including calculation of Z-parameters in AWGN environment, channel polarization indexing, and sorting algorithms with code implementation details.
An excellent Viterbi decoding algorithm implementation for convolutional code encoding and decoding with optimized performance and practical applications!
MATLAB-based channel simulation implementing encoding and decoding algorithms for convolutional codes and cyclic codes with performance analysis
Course design implementing two programs: 1) Turbo code encoding and decoding for 400-bit data frames transmitted over noisy channels, simulating Log-MAP decoding algorithm performance across different iteration counts. 2) Performance evaluation of Turbo codes using MAP decoding algorithm under varying signal-to-noise ratios in noisy channels. Both main programs include comprehensive code comments and can be executed directly via turbo_main.m or LogMAP.m to observe simulation results within moments.