image-perocessing

此文件包含有四个基于matlab源程序,可直接运行.其说明如下 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值P0308：图像的自适应魏纳滤波 (This file contains four based on the matlab source code can be directly run. Its description is as follows P0305: analog image by Gaussian white noise and salt and pepper noise P0306: A two-dimensional median filtering function medfilt2 by salt and pepper noise to the image filter P0307: the use of MATLAB in filter2 function affected by noise interference images mean P0308: Image Adaptive Weiner Filter)

说明：  电机控制回路的simulink模拟。使用二阶速度反馈控制，并使用电流保护。(Motor control loop simulation simulink. The use of second-order velocity feedback control and the use of current protection.)

基于二阶和高阶统计量的MIMO系统盲信道估计，可完美进行信道估计，进行误码率及误差分析等。(Based on second-order and higher-order statistics of the MIMO system, blind channel estimation can be the perfect channel estimation carried out for the bit error rate and error analysis.)

matlab的源程序：包括数值分析，界面设计，图形处理及应用等。(Matlab source: including numerical analysis, interface design, graphics processing and its application. )

此代码是基于matlab的代码，包含了图像金字塔，矩特征，边沿检测，斑点检测，角点检测，融合技术，图像去噪，车牌识别等等常用的一些图像处理技术！(This code is based on the matlab code, including the image of Pyramid, moment feature, edge detection, blob detection, fusion, corner detection, image denoising, license plate recognition and so on some commonly used image processing technology!)

有限单元法及其应用 彭细荣，matlab在有限单元中的应用及其代码，应用其掌握该方法的弹性求解过程。 (matlab application finite element method )

matlab的自学教程，很基础的东西，好理解(matlab self-study tutorial, very basic things, a good understanding of)

Markovian_model_for_Opportunistic_Request_Routing-maste的matlabr例程，同时还有相关的论文。《Analyzing Opportunisitic Request Routing in Wireless Cache Networks》(A simulation of Markovian_model_for_Opportunistic_Request_Routing based on matlab)

matlab环境下的高斯白噪声生成，设计，及说明(matlab environment generated white Gaussian noise, design, and description)

二维时域有限差分法的MATLAB程序，包括吸收边界条件等(Two-dimensional finite-difference time-domain method MATLAB, including absorbing boundary conditions)