50th-Filtering

this file contains a robust control project with report in word and mfiles

矩阵的LU分解 PLU分解 以及平方根分解(LU decomposition of the matrix square root PLU decomposition and decomposition)

首先信号建模，两种频率的正弦信号叠加，加白噪声和脉冲信号；对叠加信号滤波并提取特征(First, signal modeling, the two frequencies of the sinusoidal signal superimposed with white noise and the pulse signal superimposed signal filtering and extract features)

该代码实现了以2为因子的图像升采样和降采样功能。 降采样包括使用平滑滤波器(with using the averaging filter)和不使用平滑滤波器(without using the averaging filter)两种方法。 升采样包括像素点直接复制(pixel replication method)和线性插值(bilinear interpolatoin method)两种方法。 降采样方法和升采样方法共有4种组合。程序运行后，给出了一个原始图片和四个结果图片。 图片1.原始图片。 图片2.平滑滤波器降采样&像素点直接复制升采样。 图片3.平滑滤波器降采样&线性插值升采样。 图片4.不使用平滑滤波器降采样&像素点直接复制升采样。 图片5.不使用平滑滤波器降采样&线性插值升采样。 (The code to achieve a 2-factor image upsampling and downsampling function. Down-sampling (with using the averaging filter) and do not use smoothing filter (without using the averaging filter) are two ways to use the smoothing filter. Upsampling including the pixels copied directly (pixel replication method) and linear interpolation (bilinear interpolatoin method) two methods. Down-sampling method and liters a total of four combinations of sampling methods. The program is running, it shows a picture of an original picture and four results. Picture 1 original picture. Photo 2. Smoothing filter downsampling & the pixel directly copied liter sample. Photo 3. Smoothing filter downsampling & the linear interpolation liter sampling. Picture 4. Smoothing filter down-sampling & the pixels directly copied liter sampling. Picture 5. Use smoothing filter down-sampling & the linear interpolation liter sampling.)

MATLAB 程式设计与应用(Design and Application of MATLAB programs)

虹膜识别最大熵值法的图像二值化,这有助于对图像二值化时选择门限(hong mo zui da shang zhi er zhi hua )

commande directe de couple de la machine asynchrone

How to draw tetrahedron shape using matlab

介绍了一中简单实用的图像数据融合程序,该程序运行快,融合结果优!(introduced a simple and practical image data fusion procedures, the procedures faster integration results were excellent!)

Load flow with newton rphson algorithm m file matlab code