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视频处理有关MATLAB源程序，包括视频定位，视频模板匹配，视频分割，视频滤波，视频捕捉等(MATLAB source video processing, including video positioning, video template matching, video segmentation, video filtering)

说明：  计算C3、C4通道脑电的二阶矩能量，可用于判断想象左右手运动(Calculated C3, C4 channel EEG of the second moments of energy, can be used to determine the right hand movement imagination)

给定技术指标，按照以上技术指标设计切比雪夫低通滤波器。(Given technical indicators, technical indicators in accordance with the above design Chebyshev low-pass filter.)

说明：  根据前人研究成果可以证明，煤镜质组反射率各向异性对煤田构造特征具有指示意义，镜质组最小反射率可以指示构造主应力方向。然而，在实际测量中，如何得到真正的镜质组最大、最小反射率及其方位是其中的关键环节。利用现有的岩石有限应变椭球拟合方法进行镜质组反射率椭球体拟合不失为一种行之有效的方法，可以由此确定镜质组最大、最小、中间反射率及其三维空间方位。 将之前拟合得到的反射率椭圆看作岩石有限应变椭圆即二维应变，其由之前的统计方法测定得到，三个截面的数据对于拟合唯一应变椭球来说是过多的，因此不可避免出现误差，导致三个截面应变椭圆不通过同一个椭球的情况。为了从三个截面数据得到唯一的应变椭球，需要对得到的数据进行相容性调整。采用Oertel的方法，从每一测量参数在不同截面中的值是正态分布这一假定出发，利用加权最小二乘法进行误差调整。(According to results of previous studies may prove vitrinite reflectance anisotropy on structural characteristics have implications for coal, vitrinite reflectance may indicate tectonic minimum principal stress directions. However, in actual measurement, how to get real vitrinite maximum, minimum reflectivity and its orientation is the key link. Conduct vitrinite reflectance ellipsoid fitting regarded as a proven method using existing rock finite strain ellipsoid fitting method can thus determine vitrinite maximum, minimum, intermediate reflectance and dimensional spatial orientation . Before fitting the reflectance of finite strain ellipse oval rock that is seen as a two-dimensional strain, as determined by statistical methods which have been before the data fit only for the three sections of the strain ellipsoid is excessive, and therefore can not to avoid errors, resulting in three elliptical cross-section does not pass through the same strain ellipsoid situation. In order to obtai)

一些小程序，很好玩，有兴趣的可以下载看看(Some small programs, it is fun, who are interested can download to see if)

matlab在信号处理中的应用,有很多例子(matlab signal processing applications, there are many examples)

核主元分析程序，利用核函数将非线性数据映射到线性空间，再利用主元分析提取特征数据。(KPCA procedure uses the kernel nonlinear data mapped into linear space, and then using principal component analysis to extract feature data.)

Ampl for multiple programming including linear programming, nonlinear grg model

基于harris技术图像角点的检测，标准的算法，可以改变其中参数，来改变显示效果(Detection based on the the Harris technical image angle point, the standard algorithm, where the parameters can be changed, to change the display effect)

图像纹理特征提取算法：灰度共生矩阵、像元形状指数。。(Texture feature extraction algorithm: GLCM, pixel shape index. .)