tutorial_matlab

对于配电网重构的研究是很有用的，本例子相当有用，(Reconstruction of the distribution network is very useful, very useful in this case,)

kinect的simulink接口，通过simulink控制kinect(kinect based on simulink)

edge detection sobel

函数的界面函数和一些控件的函数的使用等等，帮助用户使用matlab并很方便的理解(Function of the interface functions and the use of some of the control functions, etc., and to help users easily understand the matlab)

采用基本三角、方波信号等，对ECG心电信号仿真(Using the basic triangle, square wave signals, for ECG ECG simulation)

说明：  Leader Selection for optimization algorithms

本程序为一个extended kalman filter的matlab代码，可以帮助那个想学习extended kalman filter的(This program is an extended on kalman filter matlab code that can help that want to learn extended on kalman filter)

说明：  matlab使用垂直Sobel算子，自动选择阈值 [VSFAT Threshold]=edge(f, sobel , vertical ) 边缘探测 figure,imshow(f),title( 原始图像 ), 显示原始图像 figure,imshow(VSFAT),title( 垂直图像边缘检测 ) 显示边缘探测图像 使用水平和垂直Sobel算子，自动选择阈值 SFST=edge(f, sobel ,2) figure,imshow(SFST),title( 水平和垂直图像边缘检测 ) 显示边缘探测图像 使用指定45度角 Sobel算子滤波器，指定阈值 s45=[-2 -1 0 -1 0 1 0 1 2] SFST45=imfilter(f,s45, replicate ) SFST45=SFST45>=2 figure,imshow(SFST45),title( 45度角图像边缘检测 ) 显示边缘探测图像 (matlab I=rgb2gray(I0) J0=double(I) [VSFAT Threshold]=edge(f, sobel , vertical ) figure,imshow(f),title figure,imshow(VSFAT),title)

说明：  光伏发电功率主要受太阳辐照度影响，所以准确预测太阳辐照度对光伏功率预测十分重要。程序采用小波分解先对辐照度数据进行分解，然后再用bp神经网络对分解的辐照度数据分别预测，再组合作为最后的预测结果。(Photovoltaic power generation is mainly affected by solar irradiance, so accurate prediction of solar irradiance is very important for photovoltaic power prediction. The program uses wavelet decomposition to decompose the irradiance data, then uses BP neural network to predict the decomposed irradiance data separately, and then combines them as the final prediction result.)

说明：  74LS138 资料大全 74LS138(74LS138)