mbsteg_1.2

在运动的位置叠加噪声。进行JPDA概率数据关联及kalman滤波。 两运动目标在x-y平面做匀速直线运动。初始位置是（4000,1200）（300,1500）速度分别是（200,200）（400,200）传感器对量目标进行位置状态量测。 采样间隔T=1,点数n=80.检测概率为1，正确量测落入跟踪内的概率为0.99，杂波均匀分布的密度为2个/km2由RAND函数产生在[0，1]上均匀分布的随机变量，跟踪门限为9.21。 (Superimposed noise in the position of the movement. JPDA probabilistic data association and kalman filtering. Two moving targets uniform linear motion in the xy plane. The initial position (4000,1200) (300,1500) speed (200,200) (400,200) position sensor on the amount of target state measurements. Sampling interval T = 1, points n = 80. Detection probability of correctly measured fall into the tracking probability 0.99, 2/km2 clutter uniform distribution of density generated by the RAND function [0,1] uniformly distributed random variables tracking threshold of 9.21.)

voltage flicker estimation using ESPRIT

对网格进行平滑，利用汉宁窗对海底地形进行平滑。直接输入函数即可。(Smoothing of the grid, the use of Hanning smoothing of the submarine topography. Can be directly input function.)

Simulated Camera Calibration practice

QPSK调制方法、解调方法等的利用matlab进行仿真实验(QPSK modulation and demodulation)

Unmanned Wireless Sensor Network

K-mean clustering. hope you enjoy

一款很好的支持向量机例程，包括一对一，一对多，DAGSVM。(A good support vector machine routines, including one to one, many, DAGSVM.)

data for emg.it is for signal

application of the fuzzy logic controller to control the MMPT