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this is new approach for fuel cell control.it is really helpfull.

采用hog+SVM对路标进行识别，先训练再测试，准确率达到百分之九十四左右。(Hog +SVM is adopted to identify road signs, which is trained first and then tested, with an accuracy rate of about 94 percent.)

说明：  利用Esprit算法进行TOA估计，可用于无线传感器网络节点定位(TOA estimation by Esprit algorithm for wireless sensor network node localization)

matlab例程，可用的DC/DC构建方法，采用pwm进行直流端高低电压的转换(matlab routines, can be a DC/DC construction method using low voltage DC side pwm for conversion)

matlab + 最短路径 改进的蚁群算法(matlab+ improved ant colony algorithm for the shortest path)

汽车座椅的模型，一个很好的变刚度变阻尼座椅模型。 本人编写，在simulink环境下使用(Car seat model, a good Damper seat models. I prepared, used under simulink environment)

实现快速背景建模，使用的是SURENDRA方法(Fast background modeling, SURENDRA method)

完整的图像处理课设，包含所有源代码，汽车图像，包括轨道机动仿真、初轨计算,一个很有用的程序。( Complete class-based image processing, contains all of the source code, auto image, Including orbital maneuvering simulation, initial orbit calculation, A very useful program.)

计算SENSE重建图像中的g-factor,这是并行磁共振成像SENSE算法的关键一步(G-factor is the metric to quantify the amplificaiton of noise power in reconstructing SENSE accelerated image. The detail was presented in Pruessmann s 1999 Magn. Reson. Med. paper. In theory, g-factor is the pixel-by-pixel ratio of the image variance between the SENSE reconstructed image and un-accelerated image. And g-factor depends on: (1) the k-space data trajectory (2) coil sensitivit profiles (3) noise covariance matrix of the array coil)

外国的一个大牛写的ply格式模型的读写程序，注释很详细，和适合学习(A large foreign cattle write ply format model reading and writing program notes in great detail, and suitable for learning)