我写的贝叶斯fusion的Visual C+++源码，简明易懂，提供参数说明 可直接使用。 -The Bayesian fusion the Visual C+++ of what I wrote source, easy-to-understand parameters can be used directly.

基于kaiser窗的双谱线插值FFT谐波分析，利用贝叶斯原理估计混合logit模型的参数，D-S证据理论数据融合。- Dual-line interpolation FFT harmonic analysis kaiser windows, Bayesian parameter estimation principle mixed logit model, D-S evidence theory data fusion.

利用贝叶斯原理估计混合logit模型的参数，用于特征降维，特征融合，相关分析等,粒子图像分割及匹配均为自行编制的子例程。- Bayesian parameter estimation principle mixed logit model, For feature reduction, feature fusion, correlation analysis, Particle image segmentation and matching subroutines themselves are

包括主成分分析、因子分析、贝叶斯分析，D-S证据理论数据融合，已经调试成功.内含m文件，可直接运行。- Including principal component analysis, factor analysis, Bayesian analysis, D-S evidence theory data fusion, Has been successful debugging. M contains files can be directly run.