[7]-Data-Mining---Practical-Machine-Learning-Tool

matlab程序，实现fir各种窗函数的滤波 iir各种类型的滤波(matlab procedures fir achieve a variety of window functions of various types of filtering IIR filtering)

电网潮流计算中节点导纳矩阵的形成的函数程序，进过验证可以使用(Power flow calculation of the node admittance matrix of the function of the formation process can be used to go to verify)

matlab 概率统计技术，适合初学者学习(matlab probability and statistics techniques suitable for beginners to learn)

正负1隐写matlab实现，虽然简单但很使用(Steganography matlab achieve plus or minus 1)

实时读取MIT数据库中的二进制文件，并显示ECG信号(Real-time read the MIT database binary files and show ECG signal)

异步电动机数量控制完整仿真模型，可以根据实际情况写该参数，达到研究者所需要的情形(The number of complete induction motor control simulation model, the parameter can be written according to the actual situation, the researchers needed to achieve the situation)

搜集了网上的一些比较新的STAP算法；感谢Zheng Zhou zhzhou@calpoly.edu 的贡献！ (The purpose of this tutorial is too familiarize Cal Poly students with space-time adaptive processing (STAP). By the end of this tutorial, you should have a solid understanding of how STAP works and how to build upon the foundation of STAP research here at Cal Poly. It is the hope of this author that once you completed your thesis in STAP, you would update this tutorial with more recent STAP developments so that future Cal Poly students could benefit your experience. )

本文先用灰色GM(1,1)模型对陕西省GDP 做预测, 经过检验, 再用此模型确定另外一些未知指标, 最后通过确定的这些指标用 灰色GM(1,N)模型作预测, 通过比较总结两种模型各自的特点, 从而科学的指导陕西省经济发展,国内生产总值预测模型具有重要的现实意 义。 (This article first gray GM (1,1) models do forecast GDP of Shaanxi province, on examination, then this model to determine other unknown targets, and finally through the identification of these indicators of gray GM (1, N) model for prediction, by Comparison of two models summarize the characteristics of their own, so the guidance of scientific economic development in Shaanxi Province, China' s GDP forecast model has important practical significance.)

说明：  主成分分析算法，用于建立主成分分析模型，采用累计贡献率的方法(pca )

some experiment about modern control theory by myself