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平板电容的数值计算——矩量法，包含word报告，内附matlab程序(Numerical plate capacitor- moments, including word report, containing a matlab program)

利用prewitt边缘检测算子，实现图像的边缘检测，方法很简单(Edge detection operator using prewitt achieve edge detection, the method is very simple)

说明：  主要讲述的是位相可调的液晶空间调制器，并进行了实验验证(Mainly about the adjustable liquid crystal spatial phase modulator, and experimental validation)

说明：  基于MATLAB/GUI的M-QAM调制解调及误码率,本文件是在MATLAB2009a版本上设计的，低于此版本的有可能会出错。 此文件中“M_QAM.m”是主文件，其他均为调用文件,该程序实现了MQAM的调制解调功能，并画出了每一步的波形 (Based on MATLAB/GUI s M-QAM modulation and demodulation and bit error rate, this document is designed MATLAB2009a version, this version is lower than might be wrong. This file is in the " M_QAM.m" is the main document, others are calling the file, the program implements the MQAM modulation and demodulation functions, and draw the waveform of each step)

演化博弈的仿真程序，非常实用的程序，可以画相位图(evolutional game modeling)

说明：  matlab 书籍时域有限元求解电磁场，计算电磁学初学者，编写的程序代码，希望可以帮助广大网友(Matlab book time domain finite element method to solve electromagnetic field, calculation of electromagnetic beginners, compiled program code, hope to help the vast number of netizens)

电力电子直流斩波降压BUCK电路。广泛用于直流电机调速 开关电源(Step-down DC chopper power electronics circuit BUCK. Widely used in DC motor speed control)

Circular Hough Transform

说明：  用MATLAB模拟界面直观实现嫦娥1号,地球,月球之间的关系.(MATLAB simulation of an intuitive interface with the realization of Chang)

This paper presents a new approach to image segmentation using Pillar K-means algorithm. This segmentation method includes a new mechanism for grouping the elements of high resolution images in order to improve accuracy and reduce the computation time. The system uses K-means for image segmentation optimized by the algorithm after Pillar. The Pillar algorithm considers the placement of pillars should be located as far from each other to resist the pressure distribution of a roof, as same as the number of centroids between the data distribution. This algorithm is able to optimize the K-means clustering for image segmentation in the aspects of accuracy and computation time. This algorithm distributes all initial centroids according to the maximum cumulative distance metric. This paper evaluates the proposed approach for image segmentation by comparing with K-means clustering algorithm and Gaussian mixture model and the participation of RGB, HSV, HSL and CIELAB color spaces.