cnn

运用计算机图形学的知识，采用4阶B样条基函数，节点向量取为[0,0,0,0,1/4,2/4,3/4,1,1,1,1] 先绘制控制多边形，再用分段直线段绘制B样条曲线(Using the knowledge of computer graphics, the 4 order B spline basis function is used, and the node vector is taken as [0,0,0,0,1/4,2/4,3/4,1,1,1,1]. First, draw the control polygon and draw the B spline curve by piecewise straight line segments.)

一个matlab处理海量数据的优化方法和源代码,不错的源码 很好(A handle huge amounts of data optimization method and matlab source code, a good source is very good)

首先将非平稳的故障振动信号进行双树复小波包分解，得 到不同频带的分量；然后对每个分量求其峭度值和相关系数并进行比较；最后选取峭度值和相关系数较大的分量 进行软阈值降噪和双树复小波包重构，即可有效地消除振动信号中噪声的干扰，同时保留信号中的有效信息即实 现了故障特征信息的提取。(In view of the above situation, a new fault diagnosis method is proposed based on dual-tree complex wavelet packet transform and threshold de-noising. Firstly, the non-stationary fault signal is decomposed into several different frequency band components through dual-tree complex wavelet packet decomposition. Secondly, Kurtosis and the cross-correlation coefficient of each component are obtained and compared. Due to the kurtosis reflecting the signal variations, if the kurtosis value is bigger, the degree of the change of signal is bigger too. The correlation coefficient can reflect the proximity between the component and the original signal at the same time, the correlation coefficient is bigger, the more similar with the original signal. Finally, the components that have a bigger value are chosen to be de-noised by a soft threshold and reconstructed by dual-tree complex wavelet packet transform. The noise interference was eliminated effectively, and the effective si)

RGB和LAB色彩转换源码程序，根据颜色组成原理通过计算实现RGB和LAB色彩转换。(RGB and LAB color conversion source program , according to the colors of the RGB and LAB color principle to achieve conversion by calculation.)

说明：  最小熵解卷积程序，适合对故障信号降噪处理，有良好的的降噪效果(Minimum entropy deconvolution program, suitable for noise reduction of fault signals)

用matlab实现了一系列示例：球差，慧差，像差，像散。(Using matlab to achieve a series of examples: spherical aberration, coma, aberration, astigmatism.)

相当经典的一款SVM 可视化相当好，当今流行的2大SVM()

各种矩阵算法库,支持UpperTriangularMatrix,LowerTriangularMatrix, Diagon()

不错的SVM实现算法,采用的是LS-SVM算法,这是C版本,还有一个MATLAB版本(A good SVM implementation algorithm, using the LS-SVM algorithm, this is the C version, there is a MATLAB version)

说明：  GVF snakes. 最近学习用到的code，可以帮助图像处理入门级的学生了解GVF snake的实现。(GVF snakes. Recent study used the code, image processing can help entry-level students to understand the realization of GVF snake.)