chazhinihe

说明：  雨流计数法,建立在对封闭的应力——应变迟滞回线逐个计数的基础上,能够比较全面的反映随机载荷的全过程,由载荷——时间历程得到的应力——应变迟滞回线与造成的疲劳损伤是等效的.(Rain-flow counting method, based on the stress of the closed- strain hysteresis loop-by-count basis, can be more fully reflected random load the entire process, from the load- time history obtained stress- strain hysteresis loop and the caused by fatigue damage is equivalent.)

说明：  matlab的函数目录，，作为初学者的函数字典，，很有参考价值(matlab function directory, as a function of beginners dictionary, a good reference)

Precision/Recall curve drawing.

读取和写入raw格式图像，此格式图像文件存储一幅图中的全部像素点，并以每个像素点16bit数据保存(read and write a raw format 16-bit image)

Principal scheme of the MIMO toolbox is shown in Fig. 1. Desired pattern taken a discrete alphabet is used to generate testing data. The data are then encoded in the channel encoder and split into the multiple parallel streams. T

WATEMARKING WITH BLIND EMBEDDING

永磁同步电机的simulink仿真，V/f控制模式，带电流反馈(PMSM model in matlab/simulink with V/f control mode.)

power_twelvepulses.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_twelvepulses.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

扩展Klman滤波在车辆GPS/DR组合定位系统信息融合中的应用，主要包括：产生车辆运行轨迹，GPS卫星单独定位导航，DR车辆航迹单独定位导航，GPS/DR通过扩展卡尔曼滤波进行多源数据融合实现的组合定位导航。产生的结果有车辆实际运动轨迹，车辆在GPS定位下的运动轨迹，车辆在DR定位下的运动轨迹，车辆在GPS/DR数据融合后组合定位轨迹，以及各种定位方式在北向和东向各自的误差图。(The extended Klman filter in vehicle GPS/DR integrated navigation system information fusion application, mainly including: the generation of vehicle trajectory, GPS satellite positioning and navigation of vehicle track alone, DR alone, GPS/DR positioning and navigation, by extending the Calman filter to achieve multi-source data fusion combined navigation. The result of actual vehicle trajectories, trajectories of vehicles in GPS positioning, DR positioning in the vehicle trajectory, vehicle location trajectory in GPS/DR after data fusion, as well as a variety of ways to locate and east the error map in the north.)

说明：  MATLAB7辅助控制系统设计与仿真 第6章(MATLAB7 Auxiliary Control System Design and Simulation of Chapter 6)