粒子滤波 PF( Particle Filtering) 是在 贝叶斯滤波框架下基于 Monte Carlo 采样的统计滤波方法，可解 决非线性、非高斯的滤波问题，声源跟踪就属于这类问题。近年 来，基于粒子滤波的声源跟踪算法已成为研究的热点。 -he real acoustic data recorded in a typi- cal meeting room using a small-scale microphone array is used for tracking

粒子滤波算法的研究，经测试，效果明显，为目标跟踪建立了很好的基础-Particle filter algorithm has been tested, the effect is obvious, as the goal to establish a good foundation for tracking

真的是一个好程序，多目标跟踪的粒子滤波器，模式识别中的bayes判别分析算法。- Really is a good program, Multi-target tracking particle filter, Pattern Recognition bayes discriminant analysis algorithm.

多目标跟踪的粒子滤波器，最小均方误差（MMSE）的算法，仿真效果非常好。- Multi-target tracking particle filter, Minimum mean square error (MMSE) algorithm, Simulation of the effect is very good.