mRMR_0.9_compiled

this demo is to show you how to implement a generic SIR (a.k.a. particle, bootstrap, Monte Carlo) filter to estimate the hidden states of a nonlinear, non-Gaussian state space model.(this demo is to show you how to implement a ge neric SIR (a.k.a. particle, the bootstrap. Monte Carlo) filter to estimate the hidden stat es of a nonlinear. non-Gaussian state space model.)

蚁群算法 matlab程序（已运行），有源代码，和详细的说明文件，matlab仿真的数据及参数输入的值都一给定好。学习蚁群算法的最好的代码了。(Ant colony algorithm matlab program (already running), active code, and detailed documentation, matlab simulation data and parameter input values are a given good. Ant colony algorithm to learn the best code.)

说明：  Matlab在图像处理与目标识别方面的应用 附有例题 1染色体识别与统计 2汽车牌照定位与字符识别 3 基于BP神经网络识别字符的简单实验(Matlab image processing and target recognition in the application of a chromosome with Example 2 License Plate Recognition and Statistical location and character recognition based on BP neural network to recognize three characters in a simple experiment)

matlab code for bitstuffing in HDLC protocol

event management is very important.

用粒子群求解最优化问题的一个粒子，并画出迭代次数与最优解的关系(For solving optimization problems with particle swarm particle, and draw a relationship between the number of iterations and the optimal solution)

The Mass Univariate ERP Toolbox is a freely available set of MATLAB functions for performing mass univariate analyses of event-related potentials (ERPs), a noninvasive measure of neural activity popular in cognitive neuroscience. A mass univariate analysis is the analysis of a massive number of simultaneously measured dependent variables via the performance of univariate hypothesis tests (e.g., t-tests). Savvy corrections for multiple comparisons are applied to make spurious findings unlikely while still retaining a useful degree of statistical power. The advantages of mass univariate analyses include: reduced need for a priori defined time windows/regions of interest, discovery of unexpected effects even when a priori time windows/regions of interest are available, and greater spatial and temporal resolution than conventional mean time window analyses.

digital signal prossing

基于SIMULINK矢量控制系统的仿真,希望能给大家带来帮助。(Vector control system based on SIMULINK simulation, We hope you help.)

互信息盲源分离，这基于这么一个事实，混合信号的互信息最小时，意味着信号独立。可以参考有关书籍。在google里面，搜索mutual information blind source separation.即可搜到文章。(mutual information Blind Source Separation, such a fact-based, mixed-signal information in the most hours of each other, mean signal independence. Can reference to the books. Google the inside, Search mutual information blind source separation . that article can be found.)