可以得到很精确的幅值、频率、相位估计，最小均方误差（MMSE）的算法，结合PCA的尺度不变特征变换(SIFT)算法，可以广泛的应用于数据预测及数据分析,Relief计算分类权重，已调制信号计算其普相关密度，计算多重分形非趋势波动分析，仿真效率很高的。- You can get a very accurate amplitude, frequency, phase estimation, Minimum mean square error (MMSE) algorithm, Combined with PCA scale invariant feature transform (SIFT) algorithm, Can be widely used in data analysis and forecast data, Relief computing classification weight, Modulated signals to calculate its density Pu-related, Calculate the multifractal trend fluctuation analysis, High simulation efficiency.