NEDI

岭回归程序 输入参数为自变量、因变量和优化因子 输出参数为映射矩阵与回归误差(Ridge Regression. Input parameters: - X: Input data block (k x n) - Y: Output data block (k x m) - q: Stabiliaztion factor (optional) If not given, estimated from data Return parameters: - F: Mapping matrix, Yhat = X*F - error: Prediction errors)

一个GUI界面编辑 包括多种图像处理 方法 阈值 直方图均一化等(A GUI interface for editing include a variety of image processing methods, such as threshold histogram homogenization)

这个是matlab下面的kalman滤波程序(This is kalman filtering matlab following procedures)

说明：  很实用的C和matlab的书，值得学习和理解(C and matlab very useful book, it is worth learning and understanding)

说明：  利用Gauss消元法解线性方程程序，包括找主元，设定主元，回代(Program for Solving Linear Equations with Gauss Elimination Method)

这个是一个很详细的介绍了声学测量的内容和方法，是西工大的教学材料，希望对学习心理声学的同学有帮助。(This is a very detailed description of the acoustic measurement of the Neirong and the method is NPU teaching materials, Xi Wang students learning psychoacoustic help.)

数字图像在产生过程中经常会受到噪音污染。因此，对于数字图像应该对其进行去噪音处理。在传统的基于傅里叶变换的信号去噪音方法中，可以使得信号和噪音的频带重叠部分尽可能的小，这样就可以在频域通过时，不需改变滤波方法而将信号和噪音分隔开来。但是，如果信号和噪音的频域重合时，用该方法进行噪音处理的效果就比较差。(digital image in the selection process will be subject to regular noise pollution. Therefore, the digital image should be carried out to deal with the noise. Based on the traditional Fourier Transform method of signal to noise, can result in a signal and noise bands overlap small as possible, so it can be adopted in the frequency domain, the need to change methods of filtering the signal and noise to separate. However, if the signal and noise in the frequency domain coincidence, the method for dealing with the effects of noise on the relatively poor.)

稀疏恢复算法FOCUSS，详细内容，文章中有详细的编程步骤(Sparse recovery algorithm FOCUSS, details, the article detailed programming steps)

arma时间序列预测，可以用来通过过去的数据预测未来的风电功率(arma，you can use it to predict the future wind power )

说明：  kica程序，故障检测问题的有效解决方法，初学者使用，完美运行(KICA program, an effective solution to the problem of fault detection, for beginners, perfect operation)