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基于向量内积的相似性K-means聚类算法(Based on vector similarity of inner product K- means clustering algorithm)

fit_ML_normal - Maximum Likelihood fit of the log-normal distribution of i.i.d. samples!. Given the samples of a log-normal distribution, the PDF parameter is found fits data to the probability of the form: p(x) = sqrt(1/(2*pi))/(s*x)*exp(- (log(x-m)^2)/(2*s^2)) with parameters: m,s format: result = fit_ML_log_normal( x,hAx ) input: x - vector, samples with log-normal distribution to be parameterized 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 m,s - fitted parameters CRB_m,CRB_s - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

说明：  考察一个长度为 的均直简支梁系统，梁的横截面积为A，弹性模量为E，质量密度为 ，在离简支梁左边支点的 距离和 距离处 施加动态载荷(The mean length of study of a simply supported straight beam system, the beam cross-sectional area A, modulus of elasticity E, mass density, the left away from the simple beam and the distance from the fulcrum of the dynamic loads imposed)

多元线性回归算法，能将多个线性的物质之间的变量和自变量之间建立相关度高的线性回归方程。(Multiple linear regression algorithm, can the variables and between multiple linear material to set up linear regression equation with high correlation between independent variables. )

APF动态无功补偿 DSP仿真 谐波补偿 有功和无功功率可控(APF dynamic reactive power compensation DSP simulation of harmonic compensation of active power and reactive power controlled)

数学建模中常用的灰色预测程序，经整理，有注释(Commonly used mathematical modeling of gray prediction program, collated comment)

利用最小二乘法拟合直线和曲线，绘制出对比图形；简单绘制多种三维图形的代码(least-square fiting and draw graph)

一个简单的基于扰动控制法的mppt模块，参数未设置，无光伏模块(A simple MPPT module based on disturbance control method, with no parameters, no photovoltaic module.)

绘出DSB解调器的输出并给出功率为其0.001，0.01，0.05，0.1和0.3倍的白高斯噪声存在的情况下解调器的输出(Mapped DSB demodulator output and gives power to its 0.001,0.01,0.05,0.1 and 0.3 times the white Gaussian noise exist demodulator output)

用MATLAB实现卷积神经网络，并对图像进行特征提取(Using MATLAB convolution neural networks, and image feature extraction)