MXFEM1d3

phase lock loop pll toolbox tool

关于PSO的PPT讲解,对学习和了解PSO优化算法很有帮助(PSO on the PPT on the study and understanding of optimization algorithm PSO helpful)

Delta function and its differential

大牛用matlab编的LED灯显示程序，很经典的，希望对大家有用，其实matlab的很多功能我们还没有完全开发出来呢(LED algorithm ,complished by matlab)

this is a matlab based simulation of grid connected PV power plant

基于图论求解最短路径，经典dijkstra算法，通用版(Based on the graph theory to solve the shortest path, classical dijkstra algorithm, general version)

使用matlab语言编写FDTD散射问题(FDTD scattering problem with matlab language)

窗函数的进一步介绍，单峰谱线插值算法，双峰谱线插值算法，prony法等MATLAB仿真源程序，参考北航的85个实用案例精讲。(It is very good button source code integrity, and can be used directly.Source program based on MATLAB simulation)

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)

Multivariate curve resolution