matlab-picture

matlab 关于股票单项指标滚动预测神经网络源代码。大家可以根据自己的回归预测问题，进行改写，。只用于研究ELMAN神经网络的一般使用，不适合用于投资分析，误差较大，切忌。切忌。(a code of Elman netural network about predicating the stocks price.. it is free and easy..)

rayleigh channel simulation

这是关于图像处理的一些程序，能够在在MATLAB环境下直接运用。(This is the image of some of the procedures in the MATLAB environment direct use.)

锁相环实验，PLL参数测试，锁相环PLL原理与应用，环路滤波器 (The experimental phase-locked loop, PLL parameter testing, and application of the principle of the PLL loop filter )

本文件是我们小组参加2013电工杯的数学建模比赛的文件，荣获全国2等奖！我们做的是电力系统分析的题目，内有基于matlab建立的三次平滑统计方法，以及神经网络智能算法，还有就是基于simulink的电力系统仿真程序！内附有程序说明文件。你一定能看懂的，不懂的可以留言给我！(This document is our electrician Cup 2013 team participated in the mathematical modeling of the game files, won the two prize! What we do is the subject of power system analysis, there are statistical methods based on cubic smoothing matlab established and intelligent neural network algorithm, there is a power system based on simulink simulation program! Enclosing a program documentation. You must be able to read and understand can leave a message to me!)

说明：  基于matlab的子程序，可以进行任意通信信号的升余弦滤波(Subroutine based on matlab, any communication signals can be raised cosine filter)

太阳能光伏阵列的仿真模型，希望能帮助到有需要的同学(Solar photovoltaic array simulation model, hoping to help to needy students)

三个MATLAB源代码三个MATLAB源代码三个MATLAB源代码(three matlab code)

对基于粒子滤波的目标跟踪进行仿真，附带有最后仿真的视频。(Based on the target tracking particle filter are simulated, accompanied by the simulation of the video.)

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)