active-power

用MATLAB编写的BP 程序。。。希望可以对大家有所帮助(BP program)

边缘提取技术边缘是图像对视觉的最主要特征，因此在计算机视觉技术中提出了多种检测边缘的算法。由于各种原因，图像常常受到随机噪声的干扰，经典的边缘检测的结果常常是将噪声误检为边缘点，而真正的边缘由于噪声干扰却可能被漏检。因而对于被噪声污染的图像来说，一种好的边缘检测方法应具有良好的噪声抑制能力，同时又有完备的边缘保持特性。(After analysing the soft threshold funetion,the smoothness threshold function is proposed by modifying the soft threshold function.because this function keeps smooth in the entire value range,some important details in the process of image denoising can be held. Firstly we detect the edge of the noising image. )

关于Matlab学习的教程PPT，非常适用(Matlab tutorial on learning PPT)

用C语言编写的S函数源代码，用于在MATLAB/Simulink环境下仿真永磁无刷直流电机，在MATLAB7.0以上环境下编译成动态链接库然后在Simulink中使用。模块信息见源码注释。(C language prepared by the S-function source code, for the MATLAB/Simulink environment simulation permanent magnet brushless DC motor, In the above circumstances MATLAB7 compiled DLL then use Simulink. Source module information, see Notes.)

在MATLAB生成的FIG中进行局部放大，(FIG generated in MATLAB in the enlarged)

鲁棒性好，性能优越，采用加权网络中节点强度和权重都是幂率分布的模型，三相光伏逆变并网的仿真，包含优化类的几个简单示例程序，用于特征降维，特征融合，相关分析等,使用起来非常方便。 ( Robustness, superior performance, Using weighted model nodes in the network strength and weight are power law distribution, Three-phase photovoltaic inverter and network simulation, Optimization class contains several simple sample programs, For feature reduction, feature fusion, correlation analysis, Very convenient to use. )

行程编码的matlab实现。编码后的图像存储在变量E中,该变量是一个三纬树组,前两纬表示起始像素的横、纵坐标，第三纬表示该行程的颜色值。(Matlab coding realize itinerary. Encoded image is stored in the variable E, the variable is a three-wai Tree Group, the former two-wai express start pixel horizontal, vertical coordinates, the third weft express the color values of the trip.)

是一分学习MATLAB 很好的教程，可以从中学到很多东西，简单易懂(A good learning MATLAB tutorial, you can learn a lot from, and easy to understand)

Image processing via MATLAB_V1

通过输入区间端点a和b以及精度，初始等分数和最大外推层数来近似f(x)在a到b上的积分！(By entering a and b as well as the interval endpoint accuracy, the initial fraction and the like to approximate the maximum number of layers extrapolation f (x) at the points a to the b!)