MATLAB-DEMO4

基于matalbd 排队possion mm1 模拟(Simulation based matalbd line possion mm1)

matlab中用PSD法绘制信号功率谱,可得到信号的频谱幅度。(PSD method using matlab draw the signal power spectrum, the spectrum available to the signal amplitude.)

基于MATLAB 图像融合 空间域加权平均 (Weighted average spatial domain image fusion)

Motion Tracking =============== This tarball contains all code required to run the tracking algorithm on a sequence of images. Run the file run_tracker.m in Matlab and follow the instructions. You will need to have a directory of sequentially numbered images available. After entering the path and file types the tracker will begin processing. Once the data window appears the algorithm begins building a background model and attempts to track objects. By clicking on any of the four subwindows you can investigate the background representation (a Mixture of Gaussians) of any pixel. The two windows that then appear display the mixture once as a two-dimensional scatter plot (ignoring the blue colour component), and once as a one-dimensional evolution of the red colour component only. These plots make the internal processing visible and should help determining suitable parameters to be set in mixture_parameters.m.

粗糙集理论改进的RBF神经网络，适用性比较强，对RBF的优化有一定的作用(Rough set theory improved RBF neural network, strong applicability of optimization RBF has a certain role)

跟踪微分器，用于自抗扰控制的过度安排作用，学习自抗扰可参考学习，谢谢(Track Differentiator)

利用matlab的gui设计的带有输入和输出功能的界面图形，可视性很强，自己独立编写，学习非常值得(Uses the Matlab GUI design to have the input and output function the interface graph, the visibility is very strong, writes independently, the study is very worthwhile.)

实现多普勒信号的处理。 包括信号平滑等操作(Doppler signal processing to achieve. Including the signal smoothing operation, such as)

the dingyumeiand gaoxinquan DSP PPT

本文提出了一种节点密度和剩余能量传感器网络加权分群算法，该分群算法优化了群首 选择，均衡了网络节点的能量消耗，延长了网络的生命周期(This paper proposes a residual energy of sensor nodes in the network density and weighted clustering algorithm, the clustering algorithm to optimize the group' s first choice, balancing the energy consumption of network nodes to extend the network life cycle)