Explore MATLAB source code curated for "MAP算法" with clean implementations, documentation, and examples.
This MATLAB program implements the Maximum A Posteriori (MAP) algorithm with comprehensive communication system components including convolutional encoding/decoding, BPSK modulation, and AWGN channel simulation. The code also generates performance analysis through Bit Error Rate (BER) versus Signal-to-Noise Ratio (SNR) plots.
Detailed explanation of the UBM model MAP algorithm process with code implementation insights for speaker recognition systems
MATLAB implementation of Turbo code encoder and decoder, featuring MAP (Maximum A Posteriori) and SISO (Soft-Input Soft-Output) decoding algorithms with detailed code architecture and iterative processing explanations.
A concise implementation of the MAP algorithm for Turbo coding, featuring SNR curve visualization to evaluate performance metrics.
MATLAB source code for BCJR decoding algorithm with detailed annotations, suitable for learning MAP algorithm implementation. The code includes comprehensive comments demonstrating forward-backward probability calculations, branch metric computations, and log-likelihood ratio derivations.