shichuang

根据Medioni的张量投票理论，用matlab实现二维图像的重构。(According Medioni s tensor voting theory, with the realization of two-dimensional image reconstruction of matlab.)

温度模型 需要的可以直接拿走 但是没有说明(Temperature model may need to take but did not say directly)

并联有源共模电流抑制方法的matlab仿真，建立仿真模型，分析补偿特性(common mode current inhibition of Matlab simulation, simulation model building, analyzing characteristics compensation)

sampencandApEn.m 为证明 样本熵 较 近似熵 更准确的程序 fast_ApEn1.m sampenc.m 为sampencandApEn.m的子程序(sampencandApEn.m sample entropy to prove more accurate than the approximate entropy procedure 3.fast_ApEn1.m sampenc.m subroutine is sampencandApEn.m)

三层bp matlab版，输入输出可选，训练样本可选(Three-bp matlab version, input and output optional optional training samples)

说明：  所建立的无刷直流电动机系统的Simulink仿真模型图，功能模块包括：逆变器模块、电源模块、换相逻辑模块、PWM信号产生模块、电动机本体模块、转速测量模块和磁极位置测量模块。(Established by the brushless DC motor system in Simulink simulation model diagram, function modules include: inverter module, power modules, logic modules for phase, PWM signal generation module, motor ontology modules, speed measurement modules, and pole position measurement module.)

PV Array very goog in usw

将K均值算法用于图像分割,输入的是彩色图像,转换为灰度图像进行分割,输出结果为灰度图像.利用灰度做为特征对每个像素进行聚类,由于光照等原因,有时应该属于一个物体的像素,其灰度值也会有很大的差别,可能导致对该像素的聚类发生错误.在分割结果中,该物体表面会出现一些不同于其它像素的噪声点,因此,算法的最后,对结果进行一次中值滤波,以消除噪声,达到平滑图像的作用(The K means algorithm for image segmentation, the input is a color image, convert to grayscale image segmentation, the output of grayscale images. The use of gray as the characteristics of each pixel clustering, due to light and other reasons, and sometimes should belong to an object pixel, its gray value will also be very different, may lead to clustering of the pixel error has occurred. in the segmentation results, the surface, there would be different from other pixel noise points, so , the algorithm Finally, the results of a median filter to eliminate noise, to the role of smoothing the image)

基于MATLAB的显示误差递变的线性神经元源程序，希望能够帮助大家(error shows the linear movements of neurons source, we hope to help)

使用matlab实现电子波动性和粒子性的演示(Use matlab electronic fluctuations and particle demo)