Matlab--cascade-control-

Ingrid Daubechies《小波十讲》(中文版)具体电子数目及应用(Ingrid Daubechies, "Ten Lectures on Wavelets" (Chinese version), the number of electrons and)

最小二乘一次计算法,就是一般的最小二乘算法(Least squares method, that is, the general least squares algorithm)

The purpose of this code is to use GOOGLE translate to translate help of a command in MATLAB ( This code is written by M.A. (aka lftx). The purpose of this code is to use GOOGLE translate to translate help of a command in MATLAB to Turkish (you can modify it). So do not expect much. You need an active internet connection for this function to work The function uses a java package to use GOOGLE translate s API which is not developed by me, for detailed description of the java files you can check http://code.google.com/p/google-api-translate-java/ the usage of the file is very similar to the original "help" function and if you add the files to your matlab s path you can use it as you use MATLAB "help" function EXAMPLES: helptr eye EXAMPLES: helptr( why ) or helptr why The function has been working as of DEC 2010 I cannot guarantee that it would be working in the future, as google might change its API, or might not like your referring webpage or maybe your IP. )

LTI response for a sound file

EasyMod is a MatLab/Scilab toolbox for teaching modal analysis. It provides a set of functions allowing to establish the identification of modal parameters and these validation. Nowadays, circle-fit, line-fit and least square complex exponential methods are implemented. In addition, some relevant functions are offered in order to complete a modal analysis: operations on the frequency response function (FRF) , generation of FRF from mass, damping and stiffness matrices, MAC (modal assurance criterion) and modal collinearity

基于wifi的机器人粒子滤波 Copyright (c) 2008, Sebastien Paris All rights reserved.

一些基本的做copula的matlab程序，可以画累计分布函数图。(Some of the basic copula matlab program, you can draw the cumulative distribution function diagram.)

用MATLAB对图片进行预处理，均值滤波和高斯函数去除噪音(Using MATLAB for image preprocessing, mean and Gaussian filter to remove noise)

applied k means clustering for vector quanta and used huffman for image compression matlab code

image segmentation. This package contains demos that were used during an Image Processing webinar