crossvalind

Recent work by Petricoin and Liotta and co-workers (Petricoin et al. Use of proteomic patterns in serum to identify ovarian cancer. Lancet. 2002 Feb 16 359(9306):572-7. PMID: 11867112) has generated a lot of excitement and controversy. This example shows some ways that MATLAB can be used to read, visualize, pre-process (base-line correction, resample) and classify the data. The data can be downloaded from http://home.ccr.cancer.gov/ncifdaproteomics/ppatterns.asp (Recent work by Petricoin and Liotta and co-workers (Petricoin et al. Use of proteomic patterns in serum to identify ovarian cancer. Lancet. 2002 Feb 16 359 (9306) :572-7. PMID: 11867112) has generated a lot of excitement and controversy. This example shows some ways that MATLAB can be used to read, visualize, pre-process (base-line correction, resample) and classify the data. The data can be downloaded from http://home.ccr.cancer. gov/ncifdaproteomics/ppatterns.asp)

基于EMD的直流电机换向电流提取程序。内含用LEM公司的霍尔传感器实测的微型直流电动机启动时的电流信号（真实的数据和大家分享），分别用小波滤波和EMD消噪，并用EMD提取直流分量、高频换向电流，对研究电机间接测速、启动特性测试很有帮助，对电机故障诊断也有帮助。(EMD-based DC motor commutation current extraction procedures. LEM s included with Hall sensors measured miniature DC motor start-up current signals (real data and to share), respectively, with wavelet filtering and EMD de-noising and extracted DC component with EMD, a high-frequency current commutation of indirect research motor speed, starting characteristics testing is helpful, for motor fault diagnosis can also help.)

计算SQUIRT 模型，弹性波在饱和多孔介质中传播时，一种微观流动机制(used to realize the Squirt flow model)

本源代码首先实现普通的直方图均衡化，再实现灰度级之间的均匀分布，可以有效的解决直方图均衡化过程中的灰度断层现象。使得图像更加的柔和，直方图分布更均匀。(Source code first to achieve common histogram equalization, and then to achieve uniform distribution between gray levels can be an effective solution in the process of histogram equalization, gray fault phenomenon. Makes the image more of the soft histogram more evenly distributed.)

Inverted Pendulum Controled_State_Space_sfun by falcon robot

The above file will give internal boundary, external boundary, morphological gradient, also thining and thickening of image.

Among the high-complexity methods, two methods dominate the literature Kalman filtering and Mixture of Gaussians (MoG). Both have their advantages, but Kalman filtering gets slammed in every paper for leaving object trails that can t be eliminated. As this seems like a possible deal breaker for many applications, I went with MoG. Also, MoG is more robust, as it can handle multi-modal distributions. For instance, a leaf waving against a blue sky has two modes—leaf and sky. MoG can filter out both. Kalman filters effectively track a single Gaussian, and are therefore unimodal: they can filter out only leaf or sky, but usually not both.

Excel Link is a software add-in that integrates Microsoft Excel and MATLAB in a Microsoft Windows-based computing environment. By connecting Excel and MATLAB, you can access the numerical, computational, and graphical power of MATLAB from Excel worksheet and macro programming tools. Excel Link lets you exchange and synchronize data between the two environments.

用MATLAB实现线性平滑滤波器和中值滤波器(To realize the linear smoothing filter and median filter using MATLAB)

计算机视觉中最重要的研究之一就是运动目标检测，其不但在模式识别方面具有相关的研究，而且在图像理解领域也有非凡的意义。运动目标检测是通过通过图像序列帧图像来提取运动目标，通过运用相关的算法一幅图片被划分为前景点和背景点。运动目标检测算法是后续的运动目标分类、运动目标跟踪和分析提供了基础。本论文讲述了几种常用的视频运动目标检测算法，并就背景差分法进行了重点研究，通过两种方法来对比差分法的特点。其中背景差分法算法的主要流程为：视频获取、视频转化为图片序列、图片灰度化处理、去除噪声、差分图片、对图片进行后续处理。此次课题的完成采用的是比较常见的数学软件matlab，其具有强大的工具箱。对处理图像这块具有很广泛的支持。(Computer vision and video image processing is one of important research in the field of video moving object detection, whether in the domains of pattern recognition and image understanding has special significance. Moving target detection is to extract video moving object in successive frames, the image is divided into foreground and background. Moving target detection algorithm for subsequent movement target classification, target tracking and analysis provides the basis. This paper tells the story of several common video moving object detection algorithm, and to the study on the background difference method, through the two methods to contrast the characteristics of the finite difference method. The background difference method algorithm is the main process is: the video capture, video into image sequence and image grayscale processing, remove noise, difference image, for subsequent processing images. The completion of this subject is the more common mathematical software matlab, whi)