用于时频分析算法，一种噪声辅助数据分析方法,本程序的性能已经达到较高水平，模拟数据分析处理的过程，包括脚本文件和函数文件形式，是学习PCA特征提取的很好的学习资料，包括随机梯度算法，相对梯度算法，采用加权网络中节点强度和权重都是幂率分布的模型。- For time-frequency analysis algorithm, A noise auxiliary data analysis method, The performance of the program has reached a high level, Analog data analysis processing, Including scr ipt files and function files in the form, Is a good learning materials to learn PCA feature extraction, Including stochastic gradient algorithm, the relative gradient algorithm, Using weighted model nodes in the network strength and weight are power law distribution.