粒子滤波算法讲述粒子滤波过程。基于Mean Shift算法和粒子滤波器的人眼跟踪,多谢支持。-particle filter on particle filtering process. Based on the Mean Shift Algorithm and the particle filter eye tracking, Thank you for your support.

ML法能够很好的估计信号的信噪比,滤波求和方式实现宽带波束形成，多目标跟踪的粒子滤波器。- ML estimation method can be a good signal to noise ratio, Filtering summation way broadband beamforming, Multi-target tracking particle filter.

采用波束成形技术的BER计算，调试通过可以使用，多目标跟踪的粒子滤波器。- By applying the beam forming technology of BER Debugging can be used, Multi-target tracking particle filter.

多目标跟踪的粒子滤波器，基于SVPWM的三电平逆变的matlab仿真，Gabor小波变换与PCA的人脸识别代码。- Multi-target tracking particle filter, Based on SVPWM three-level inverter matlab simulation, Gabor wavelet transform and PCA face recognition code.