PMP模拟

KPCA是一种PCA的改进方法,很值得一看,很实用!(KPCA is an improved method of PCA, it is worth a visit, it is useful!)

一维数据的Kalman滤波处理，线性卡尔曼滤波的Simulink仿真(Kalman filter processing for one-dimensional data, Simulink simulation for linear Kalman filtering)

图像自适应阈值分割，基于直方图的图像阈值分割(Image adaptive threshold segmentation)

说明：  数字图像处理，图像亮度的增减，获得理想的结果，图像增强处理(Digital image processing, image brightness increases and decreases, to obtain the desired results, image enhancement processing)

此程序实现了模糊增强实现图像的边缘检测，利用模糊方法结合边缘检测实现边缘点的提取。(Realize this procedure to enhance implementation of fuzzy image edge detection, the use of fuzzy edge detection methods achieve the extraction of edge points.)

说明：  1、正弦函数 f (t) = K sin(wt +a) 2、矩形脉冲函数 f (t) = u(t) - u(t - t0 ) 3、抽样函数 4、单边指数函数 f (t) = Ke -t 5、已知信号 f1(t) = u(t + 2) - u(t - 2)， f 2 (t) = cos(2pt) ，用 MATLAB 绘制 f1(t) + f 2 (t) 和 f1(t)′ f 2 (t)的波形。(such as : Sine function f (t) = K sin(wt +a) Rectangular pulse function f (t) = u(t)-u(t-t0) Sampling function One-sided exponential function f (t) = Ke -t Known signal f1(t) = u(t + 2)-u(t-2), f 2 (t) = cos(2pt), draw with MATLAB The waveforms of f1(t) + f 2 (t) and f1(t)*f 2 (t))

电压跌落是最严重的动态电能质量问题之一， 精确定位电压跌落起止时间是应对电压跌落问题的 重要前提和基础。由于电压采样信号往往有噪声分 量，现有的方法在定位电压跌落的起止时间时存在 局限性。本文提出利用多小波变换及相邻系数去噪 的电压跌落定位方法。多小波兼有对称性、正交性、 有限支撑性和二阶消失矩等优异的信号处理性能， 利用GHM多小波可以准确定位电压跌落起止时间。 多小波变换系数在每层之间具有对应关系，多小波 相邻系数将紧相邻的若干个系数作为一个整体来确 定阈值，考虑了系数之间的相关性，能获得更好的 去噪效果。通过 Matlab 进行仿真验证，仿真结果表 明，所提出的方法的正确性。 (Voltage sag is one of the most serious dynamic power quality problems. Critical start-time and end-time are important indices for voltage sags. But the sampling signals often have noisy component, the locations of start-time and end-time are hard to get. Wavelet is an effective tool for those non-stationary signal processing and has been used in this field. Local feature in the signal can be enlarged after the transformation using the scalar wavelet. But scalar wavelets cannot contain orthogonality, symmetry, compact support and higher order of vanishing moments simultaneously. In this thesis, multi-wavelets GHM is used to detect and locate power quality disturbances. Multi-wavelets offer many excellent properties such as the same approximation order but more compact support. The dependence of the multi-wavelets coefficients varies with the level, so neighboring coefficien)

人脸检测 ，算法研究，驱动程序，海康卡，海康代码SDK(Face detection, algorithms, drivers,海康卡, Haikang code SDK)

二维最小均方误差背景预测算法TDLMS，常用于目标检测，经实测，效果较好(Two dimensional minimum mean square error background prediction algorithm TDLMS, commonly used in target detection, measured, the effect is better)

适用于金属的弹性本构模型代码，可用于大多数弹性金属的模拟(Elastic constitutive model code for metal)