Maximum Likelihood (ML) and Maximum A Posteriori (MAP) Criteria
MATLAB simulation of Maximum Likelihood (ML) and Maximum A Posteriori (MAP) criteria with algorithm implementation examples
Turbo Decoding Implementation with MAP, LOG-MAP, and MAX-LOG-MAP Algorithms
1. The program implements three Turbo decoding algorithms: MAP, LOG-MAP, and MAX-LOG-MAP 2. Four MAT files starting with "xxx" contain pre-computed parameters for four given Turbo codes to accelerate decoding speed 3. Supports both 1/2 and 1/3 code rate Turbo codes, where 1/2 rate is obtained through puncturing matrix [1 0; 0 1] 4. Program includes SNR table configuration for Eb/N0 calculations
Turbo Code MATLAB Encoding and Decoding Program
MATLAB implementation of Turbo code encoding and decoding, featuring MAP (Maximum A Posteriori) and SISO (Soft-Input Soft-Output) decoding algorithms with comprehensive code structure and algorithmic explanations
Implementation of Coding Simulations with Advanced Decoding Algorithms
This code implements comprehensive coding simulations and supports various decoding scenarios including single/double sliding window configurations under MAP, LOG-MAP, and SOVA algorithms with detailed performance analysis capabilities.