huisexitong

说明：  原理：以待处理的像素作为中心，取一个nXn的模板，在模板中选择k个与待处理像素的值最接近的像素，将这k个像素的均值替换原来的像素值。 假设n=3，k=5，调用方法：b = KNNMeanFilter(a, 3, 5)(Principle: to be treated as the center pixel, take a nXn template select the template and the pending k-nearest pixel values of pixels, this k pixels mean replacing the original pixel value. Assuming n = 3, k = 5, call the method: b = KNNMeanFilter (a, 3, 5))

simulink of laboratory session

模式识别工具箱的内容非常好用，找了好久才找到的(The contents of the toolbox is very useful for pattern recognition. Lots of downloads)

matlab truss stiffness

Low pass and High Pass filters aplied to images as sobel, prewitt, roberts, first derivative

说明：  声波二阶方程空间十阶时间二阶在一维情况下的变网格数值模拟(Second-order wave equation of second order in time space 10 in One-Dimensional Numerical Simulation of Variable Grid)

这是一个用matlab语言编写的俄罗斯方块的程序，很值得一看。(This is a language with the Russian box matlab program, it is worth a visit.)

调制识别的传统算法， 零中心归一化瞬时幅度的谱密度的最大值 零中心归一化瞬时幅度绝对值得标准偏差 零中心非弱信号段瞬时相位非线性分量绝对值的标准偏差 零中心非弱信号段瞬时相位非线性分量的标准偏差 零中心归一化非弱信号段瞬时频率绝对值得标准偏差(Traditional modulation recognition algorithm, the zero center owned by an instantaneous amplitude of the spectral density of the maximum zero center owned by one of the instantaneous amplitude is definitely worth the nonlinear component of the instantaneous phase of the absolute value of standard deviation of zero-center non-weak signal segment, standard deviation of zero center weak signal segment of the standard deviation of the nonlinear component of the instantaneous phase zero center owned by the instantaneous frequency of a non-weak signal segment is definitely worth the standard deviation)

Coldfire processor Assembly instructions

economic dispatch with abc algorithm