channelEqualizer_matlab

bifurcation and lyapunov analysis of logistic map using matlab

Here is the currrent controller in physical RL(resistance- inductance) circuit where you can control current in power system

Abstract—This paper describes a new approach for a course and laboratory designed to allow students to develop low-cost prototypes of robotic and other embedded devices that feature Internet connectivity, I/O, networking, a real-time operating system (RTOS), and object-oriented C/C++.

cyclic codes using matlab

指北方位捷联惯导解算。。。尽管下吧，写作业的时候会用到(SINS navigation code)

模糊规则与模糊推理机，很好的学习模糊规则的资料。简单易懂(Fuzzy rules and fuzzy reasoning machine learning fuzzy rules. Easy to understand)

上传一些matlab源代码供大家使用，希望对大家有所帮助(Upload some matlab source code for everyone to use, we want to help)

说明：  直驱风机模型，包括机侧和网侧控制，机侧控功率，网侧控母线(Direct drive fan model, including generator side and grid side control, generator side control power, grid side control bus)

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)

Digital Image Processing Using Matlab Additional Material