最大似然（ML）准则和最大后验概率（MAP）准则，可以得到很精确的幅值、频率、相位估计，用于特征降维，特征融合，相关分析等,有详细的注释，有CDF三角函数曲线/三维曲线图，gmcalab 快速广义的形态分量分析，基于kaiser窗的双谱线插值FFT谐波分析。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, You can get a very accurate amplitude, frequency, phase estimation, For feature reduction, feature fusion, correlation analysis, There are detailed notes, There CDF trigonometric curve/3D graphs, gmcalab fast generalized form component analysis, Dual-line interpolation FFT harmonic analysis kaiser windows.