可以得到很精确的幅值、频率、相位估计，可以动态调节运行环境的参数，包括最小二乘法、SVM、神经网络、1_k近邻法,Matlab实现界面友好，ICA（主分量分析）算法和程序，包括数据分析、绘图等等,可以实现模式识别领域的数据的分类及回归。-You can get a very accurate amplitude, frequency, phase estimation, Can dynamically adjust the parameters of the operating environment, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Matlab to achieve user-friendly, ICA (Principal Component Analysis) algorithm and procedures, Data analysis, plotting, etc., You can achieve data classification and regression pattern recognition.