tong311

循环理论相关MATLAB程序：滚动轴承仿真信号的产生(加噪声干扰)(Cyclostationary related)

基于efficient subwindow search算法的windows实现(efficient subwindow search for windows )

非常全面介绍了阴影检测算法以及如何去除阴影的算法，基本涵盖了该领域的所有知识点。(Is a comprehensive introduction to the shadow detection algorithm and how to remove the shadow of the algorithm, covering all the knowledge in the field point.)

卡尔曼滤波源代码 Some brief notes ---------------- kfdemo.m is a Matlab script file to run a demonstration of the Bayesian Kalman filter. It loads file kfdemo.mat (saved as version 4 so that it will read in either v4 or v5 Matlab). The other files are called by kf.m (the Kalman filter) or included as they may be useful. Normalis.m normalises data to zero-mean, unit variance along components. I always do this before any further analysis. Steve Roberts 7-2-98 (Kalman filter source code Some brief notes kfdemo.m is a Matlab script file to run a demonstration of theBayesian Kalman filter. It loads file kfdemo.mat (saved as version 4so that it will read in either v4 or v5 Matlab). The other files are called by kf.m (the Kalman filter) or includedas they may be useful. Normalis.m normalises data to zero-mean, unit variance along components. I always do this before any furtheranalysis.Steve Roberts 7-2-98)

CPML在地震波模拟中的实现源码。主要包括了二维和三维交错网格有限差分及其完全匹配层实现。(Group progam for Seismic wave modeling.CPML implemention in finite difference of seismic wave modeling. )

彩条产生程序。。。。720p需添加74.25M时钟(colorbar generation. need 74.25mhz clock if 720p gen)

CT反投影重建的R-L滤波函数与S-L函数，应用对象为matlab自带shepp-logan模型图像(R-L function and S-L function applying to CT backproject reconstruction)

图像旋转的MATLAB文件，角度可以定义，例子中包含了M源程序以及转换的图片。(MATLAB file image rotation, angle can be defined, for example, contains M as well as the conversion of the image source.)

有效地MR图像重建算法，主要用于在MR图像的成像过程中对图像进行压缩(Efficient MR Image Reconstruction for Compressed MR Imaging)

多尺度快速角点检测算法（FAST).Adaptive and generic corner detection based on the accelerated segment test. 出处 Computer Vision–ECCV 2010(Multi-scale fast corner detection algorithm (FAST) Adaptive and generic corner detection based on the accelerated segment test. Computer Vision-ECCV 2010)