mass_spring

基于simulink 的OFDM框架仿真文件系统仿真(Simulink simulation based on the OFDM framework for file system simulation)

Introduction to Stochastic Search and Optimization

MPC coding for CSTR

最基本的混合高斯背景建模matlab源代码，本人用于火灾烟雾检测的毕设代码，已运行成功，很好的检测运动目标的算法。(Effective Gaussian mixture learning for background model to detection moving goal.)

一种新型的智能算法，磷虾群优化算法，用来进行标准函数的优化(A new kind of intelligent algorithm，Krill herd optimization algorithm)

计算一幅图像的pnsr数值 只需要把要处理的图像直接输入就可以了 简单 方便(Calculation of numerical pnsr an image just to have to deal with the direct input of images can be a simple and convenient)

程序代码说明 P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 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波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理(Code Description P0301: digital image data display matrix and Fourier transform P0302: Two-dimensional discrete cosine transform image compression P0303: gray-scale transformation method using the contrast enhanced image P0304: Histogram of homogenization P0305: simulated images by Gaussian white noise and salt and pepper noise of P0306: two-dimensional median filter function medfilt2 on the image noise by filtering salt and pepper P0307: using MATLAB in the function filter2 noise on the image by mean filter P0308: Image Adaptive Weiner Filter P0309: the use of 5 different gradient enhanced image sharpening method P0310: the image of the high-pass filter and mask treatment P0311: Using Butterworth (Butterworth) low pass filter the image noise by smoothing P0312: Using Butterworth (Butterworth) high pass filter sharpening the image)

hread read header of a RINEX 3.01 file and outputs position, the list of observation types and the list of observation .

PDstrip the open source strip theory computer code

matlab实例编程一百个源程序，内有运行后界面图像＆源代码(100 source files, after running within the interface images & source code)