chapter1

说明：  thanks it useful ihope to used

说明：  IOMETER软件使用说明，非常的的详细(IOMETER software instructions, very detailed)

说明：  ecg preprocessing baseline removal, powerline interferance removing

车灯线光源的优化设计方案 (Headlight design optimization)

MERCHEL教授研究声场合成时使用的源码，非常有参考价值，和大家共享一下(Professor MERCHEL occasion to study the use of sound source, a very valuable reference, and share what)

说明：  基于BP神经网络的数据分类-语音特征信号分类(Data Classification Based on BP Neural Network-Voice Feature Signal Classification)

第一次上传，matlab做的卡尔曼滤波，有matlab用户界面，可以设置初始值，及蒙特卡洛次数。(From the first time, matlab do the Kalman filter, a matlab user interface, you can set the initial value, and the number of Monte Carlo.)

接着刚才没传完的系统辨识与自适控制MATLAB仿真 CH3(Then just do not pass End of the system identification and adaptive control of MATLAB simulation of CH3)

蚁群算法（ACO）解决旅行商问题（TSP）的matlab程序。数据取自Oliver30。(Ant colony optimization (ACO) to solve the traveling salesman problem (TSP) in the matlab program. Data from Oliver30.)

he files in this package comprise the Matlab implementation of a foreground segmentation algorithm based upon graph cuts, described in: Better Foreground Segmentation Through Graph Cuts, N. Howe & A. Deschamps. Tech report, http://arxiv.org/abs/cs.CV/0401017. The file extractForeground.m contains a sample function that will perform a complete foreground segmentation for static camera video. It uses a number of parameters, which are described in the documentation. An attempt was made to choose sensible default values, but they may need to be adjusted for some videos. More generally, the implementation in extractForeground.m is only a suggestion of how the graph-based segmentation might be used. The same approach can be applied with other (perhaps time-adaptive) background models. The key step is at line 113 of the code, once the deviation array has been created. The graph-cut segmentation can be applied similarly to a deviation matrix computed in any other way.