Zernike_code

Segmentatiuon wiuth FCM

LMS算法的Matlab的具体实现,一个很简单的LMS算法的例子(implementation of LMS with Matlab)

实现在MATLAB环境中产生三角函数的画图功能(Generated in the MATLAB environment to achieve the drawing trigonometric functions)

lingjian.m-----蒙特卡罗方法 lingjian.m使用零件初始值，用蒙特卡罗方法算出总费用。其中使用了自己编制的正态分布随机数发生器产生正态分布随机数。lingjian.m是对蒙特卡罗方法的一次练习。(Monte Carlo method lingjian.m----- using parts lingjian.m initial value, using the Monte Carlo method to calculate the total cost. Using its own random number produced by the normal distribution normal distribution random number generator. lingjian.m Monte Carlo method is a practice.)

State estimater matlab file

THREE PHASE DVR WITH VOLTAGE SWELL CONDITION

电力系统潮流分析计算14节点信息提取雅克比矩阵等(Power flow analysis and calculation 14 nodes Jacobi matrix and other information extraction)

设计一个阻带下限0.45*pi 阻带上限0.8*pi 通带下限0.55*pi 阻带上限0.7*pi 通带衰减0.15dB，阻带衰减40dB，分别用汉宁窗汉明窗凯瑟窗布莱克曼窗设计滤波器，对比分析各方法优劣(Design a stop-band limit 0.45* pi stopband limit 0.8* pi Passband lower limit 0.55* pi stopband limit 0.7* pi Passband attenuation 0.15dB, stop-band attenuation of 40dB, respectively Hanning Hamming window Kaiser window Blackman window filter design, comparative analysis of the pros and cons of each method)

fit_maxwell_pdf - Non Linear Least Squares fit of the maxwellian distribution. given the samples of the histogram of the samples, finds the distribution parameter that fits the histogram samples. fits data to the probability of the form: p(r) = sqrt(2/pi)*(a^(-3/2))*(r^2)*exp(-(r^2)/(2*a)) with parameter: a format: result = fit_maxwell_pdf( x,y,W,hAx ) input: y - vector, samples of the histogram to be fitted x - vector, position of the samples of the histogram (i.e. y = f(x,a)) W - matrix or scalar, a square weighting matrix of the size NxN where N = length(y), or 0 to indicate no weighting is needed. hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields a - fitted parameter VAR - variance of the estimation type- weighted LS or not weighted LS iter- number of iteration for the solution

给出了基于MGA算法和SGA算法的结果比较，得到所要求的函数优化结果。(MGA algorithm is given based on comparison of the results and SGA algorithms, function optimization to get the required result.)