粒子滤波的训练部分.理论部分参考michael isard的博士论文<Visual Motion Analysis by Probabilistic Propagation of Conditional Density>learn a dynamical matrix部分.训练集合和采集需要的图片都包含了(原用于手势跟踪,故图片均为手势图片).采集代码使用另外一个代码image_demo(已上传)-Particle filter part of the training. Micha

多目标跟踪的粒子滤波器，音频信号通过LM386放大，基于小波变换的数字水印算法matlab代码。- Multi-target tracking particle filter, LM386 audio signal amplification, Based on wavelet transform digital watermarking algorithm matlab code.

多目标跟踪的粒子滤波器，内含心电信号数据及运用MATLAB写的源代码，处理信号的时频分析。- Multi-target tracking particle filter, ECG data and includes source code written in MATLAB, When processing a signal frequency analysis.

BP神经网络的整个训练过程,这是第二能量熵的matlab代码，多目标跟踪的粒子滤波器。- The entire training process BP neural network, This is the second energy entropy matlab code, Multi-target tracking particle filter.