modern-operating-systems

Particle filtering is an non-parameterized algorithm via sequential Monte Carlo simulation to actualize bayesian estimation. This paper expatiated the development and the research status of particle filtering at present.Then,introduces and analyses the principle of particle filtering、the existed key problems and countermeasures in detail.Furthermore,it sum up eleven improved methods of particle filtering algorithm.Meanwhile,applications are addressed in this paper.Finally ,the prospect of particle filtering is presented.

mfile in matlab about jame machin elec

ESTIMATION PARAMETRIQUE ESTIMATION PARAMETRIQUE

3-dimension fdtd code using matlab

实现ZOOM-FFT的功能，对频谱进行了10倍的细化。(realize ZOOM-FFT fanction)

DBSCAN ALGORITHM DENSITY BASED ALGORITHM

matlab交叉验证cross Validation，把样本集分为训练集和测试集，防止网络出现过拟合，提高网络的泛化能力和预测精度(cross Validation for matlab，to estimate the test accuracy,training accuray and validation accuracy of a neural network)

labview 调用MATLAB的DLL的例子 ，很有参考作用 (MATLAB calls the DLL labview examples of useful reference)

采用HHT变换滤波后然后采用esprit方法进行间谐波的检测程序(After the use of HHT transform filtering method and then use esprit between the harmonics of the testing process)

8DPSK AWGN BER BCH coder