FH_SS

matlab中wave文件的播放功能，欢迎使用(Matlab documents were broadcast wave function, welcomed the use of)

Matlab sensing spectrum using

using Maple and Matlab to resolve the problems ofs cientific calculation in the way of examples

Dear administrator This is a simulation of M/M/1 queue with Matlab. Thank you.

inverter control pwm technique

Duda经典教材《Pattern Classification》的全部源码(The source code of Duda s book 《Pattern Classification》)

说明：  雷达数据处理程序，对于虚假目标的产生，采用在距离、方位角、俯仰角三个方面分别产生随机噪声。(There are six tracks in the main function, which are straight track 1, circular track, straight track 2, straight track 3, figure 8 Track and ellipse track. The generation method is to first generate the track in rectangular coordinate system according to the motion equations of various tracks, in which 8-word track and ellipse track are generated by calling the functions of eighttrack and ellipsetrack respectively, and then use the coordinate system transformation to convert the value of rectangular coordinate system into the value of polar coordinate system, that is, distance, azimuth and pitch angle. It is worth noting that the image should be considered in the transformation process)

毕业设计有用，相关分析过程的matlab方法，matlab小波分析程序，有循环检测，周期性检测，利用贝叶斯原理估计混合logit模型的参数，基于chebyshev的水声信号分析。

说明：  批量提取风云4A-LMI闪电成像仪资料中的经纬度、强度并输出(Batch read FY4-LMI data and output the longitude, latitude, intensity.)

考虑两辆车在道路上同向行驶，在O-16s时，两车均保持匀速直线运动，由安装在后车上的车载毫米波雷达检测出与前车的距离为150m，相对速度为-3m/s，方位角 。在16-20s时，前车向右偏转，与后车的相对角加速度为 。后车加速，与前车的纵向相对加速度为 。雷达的扫描周期为T=0.1s，系统噪声为 ， 。量测误差为 。(Consider the two cars traveling the same direction on the road, in the O-16s, the two vehicles are kept uniform linear motion, installed in the vehicle after the car millimeter wave radar to detect the distance of the vehicle in front 150m, the relative speed- 3m/s, Azimuth. In the 16-20s, the first car to the right deflection, and the relative angular acceleration after the car is. After the vehicle acceleration, relative to the vehicle in front of the vertical acceleration. Radar scan period T = 0.1s, the system noise. Measurement error.)