case_ieee30

说明：  盲源分离FastICA、matalab程序，(FAST KERNEL ICA | |--------------------| Version 1.0- February 2007 Copyright 2007 Stefanie Jegelka, Hao Shen, Arthur Gretton This package contains a Matlab implementation of the Fast Kernel ICA algorithm as described in [1]. Kernel ICA is based on minimizing a kernel measure of statistical independence, namely the Hilbert-Schmidt norm of the covariance operator in feature space (see [3]: this is called HSIC). Given an (n x m) matrix W of n samples from m mixed sources, the goal is to find a demixing matrix X such that the dependence between the estimated unmixed sources X *W is minimal. FastKICA uses an approximate Newton method to perfom this optimization. For more information on the algorithm, read [1], and for more information on HSIC, refer to [3]. The functions chol_gauss and amariD are taken from and based on, respectively, code from Francis Bach (available at http://cmm.ensmp.fr/~bach/kernel-ica/index.htm). The derivative is com)

时滞系统大林算法matlab.m文件 c语言仿真程序(Delay Control with Dalin Algorithm)

采用粒子群算法进行优化，比如损伤识别和传感器优化布置(optimizaiton based on particle swarm algorithm)

emd经验模态分解 对振动信号进行emd分解后可以得到若干个imf,然后便可以进行希尔伯特黄变换，判断故障。(emd, it is used to analyse a signal)

利用最优控制求解汽车路径跟踪程序，其结果收敛性良好。(Optimal control to solve the vehicle path tracking, the results of convergence.)

计算时间序列样本熵，一种很有效的算法，依据算法步骤而编译(Calculate time series sample entropy)

FILLNANS replaces all NaNs in array using inverse-distance weighting between non-NaN values.

string tokeniser using c language

采用间接法在matlab中进行功率谱密度计算(Using the indirect method for power spectral density calculation in matlab)

the file consists of image segmentation using otsu threshold and finally counting by using the creating the boundary between of them