gpc

非平稳时变分析工具箱。现代信号处理的重要工具。(Non-stationary time-dependent analysis toolbox. An important tool in modern signal processing.)

说明：  editor i engineer in telecomminication field,please upload it

对于PCA的学习很有用一份资料，上面还包含matlab程序。(Learn useful for the PCA to a data above also contains matlab program.)

MATLAB遗传算法工具箱之一-gatbx (MATLAB Genetic Algorithm Toolbox)

ELMAN神经网络的数据预测——电力负荷预测模型研究(ELMAN neural network data forecast model of electric power load forecasting)

knn 只是个函数实现 需要其它函数的引用(k-nearest neighbor u need to import this function to other functions to run it)

说明：  一些基本的Matlab动画程序，可以使初学者了解动画程序的应用。(Some basic Matlab animation program that allows beginners to understand the application of animation process.)

函数HistBackground功能是将高速公路的视频文件中的多帧图片利用统计直方图的方法提取不含运动车辆的背景，(Function HistBackground function is to freeway video files of images using statistical histogram to extract the background without moving vehicles,)

daqaxis help for national instruments

denoise In BayesShrink[5] we determine the threshold for each subband assuming a Generalized Gaussian Distribution(GGD) . The GGD is given by GG¾ X ¯ (x) = C(¾ X ¯ )exp¡ [® (¾ X ¯ )jxj]¯ (6) ¡ 1 < x < 1 ¯ > 0, where ® (¾ X ¯ ) = ¾ ¡ 1 X [ ¡ (3=¯ ) ¡ (1=¯ ) ]1=2 and C(¾ X ¯ ) = ¯ ¢ ® (¾ X ¯ ) 2¡ ( 1 ¯ ) and ¡ (t) = R1 0 e¡ uut¡ 1du. The parameter ¾ X is the standard deviation and ¯ is the shape parameter It has been observed[5] that with a shape parameter ¯ ranging from 0.5 to 1, we can describe the the distribution of coefficients in a subband for a large set of natural images.Assuming such a distribution for the wavelet coefficients, we empirically estimate ¯ and ¾ X for each subband and try to find the threshold T which minimizes the Bayesian Risk, i.e, the expected value of the mean square error.