matlabneuralnetworktoolboxfunction

各种聚类算法的matlab程序集，说明见其中的readme文件(Various clustering algorithm matlab assembly to illustrate one of the readme file, see)

最小均方算法是一种自适应滤波算法，这里的Matlab程序用于根据LMS最新均方识别一个线性噪声系统(LMS algorithm is an adaptive filter algorithm, where the Matlab program for the latest according to the mean square LMS noise system identification of a linear)

funcion para determinar indices de desempe帽o

performance improvement with different codes

岩石物理模型建模的另一种方法，同样可以翻译弹性参数与物性参数间的关系。(Another method of rock physics modeling, the same can translation parameters and physical parameters of elastic)

包括了对不同通信系统的simulink仿真，如AM, DSB-SC, FM, PLL, Data Acquistion, Digital Data Transmission, PCM and Delta Modulation。通过这些可以帮助用户对通信仿真有更深的理解。(This project allows you to learn the communication systems in greater depth by giving you the reins to play with it ! It contains the simulink files (*.mdl) which are block design files of various communication systems such as AM, DSB-SC, FM, PLL, Data Acquisition, Digital Data Transmission, PCM and Delta Modulation. )

介绍压缩传感理论中要用到的信号的稀疏表征原理(Introduced the theory of compressed sensing to use the sparse representation of signal theory)

APPLICATION OF A SHUNT ACTIVE POWER FILTER TO COMPENSATE MULTIPLE NON-LINEAR LOADS

Face Detection and Tracking Using the KLT Algorithm This example shows how to automatically detect and track a face using

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.)