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curvefitting
运用Matlab实现最小二乘的曲线拟合,经调试,基本符合应用要求。(Using least squares curve fitting Matlab implementation, the debugging, in line with application requirements.)
- 2011-01-11 16:22:34下载
- 积分:1
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wind_turbine_blade_coordinates_calculate
说明: 该code读出naca4412.txt中基本balde坐标,在读取data1.txt中设计要求,生成FinalCoordinates.txt文件,包含所有生成balde airfoil所需coordinates。(this matlab code read the blade coordinates in naca4412.txt, and then read the design requirements in data1.txt. Finally, it will generate the FinlCoordinates.txt which include all the coordinates of blade airfoil.)
- 2010-04-07 08:30:23下载
- 积分:1
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Licence-Plate-Detection
Licence Plate Detection
- 2011-06-22 18:51:59下载
- 积分:1
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matlab-jianm
matlab在数学建模中的应用的源代码 包括数学建模中常用算法 简短有效(Mathematical modeling in matlab source code for the application of commonly used mathematical modeling algorithms, including a brief and effective)
- 2011-11-26 17:42:26下载
- 积分:1
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AntennaArray-Program
王建所著阵列天线分析与综合一书中相关例题的程序解决方案(Wang array antenna analysis and synthesis written a book example of program-related solutions)
- 2014-03-31 14:51:44下载
- 积分:1
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yiakuo
对图象进行压扩变化
内含一个Word 文档 将其输入MATLAB 可直接运行(Change of image compression and expansion of a Word document containing its input can be directly run MATLAB)
- 2010-06-12 16:39:51下载
- 积分:1
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Sensorless_Sliding_mode_English
sensorless pmsm vector control using sliding mode technique.The simulation is based on space vetor modulation and on mathematical model base of pmsm.all the simulation is done in pu unit.The software used for simulation is matlab in code line.
- 2011-05-10 04:00:23下载
- 积分:1
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multipath
This is a useful code for mutipaths signal
- 2011-06-23 21:30:33下载
- 积分:1
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NIT-rourkela-final
thesis paper of active power filter
- 2013-11-02 14:14:36下载
- 积分:1
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PCA_tutorial
This tutorial is designed to give the reader an understanding of Principal Components
Analysis (PCA). PCA is a useful statistical technique that has found application in
fields such as face recognition and image compression, and is a common technique for
finding patterns in data of high dimension.
Before getting to a description of PCA, this tutorial first introduces mathematical
concepts that will be used in PCA. It covers standard deviation, covariance, eigenvectors
and eigenvalues. This background knowledge is meant to make the PCA section
very straightforward, but can be skipped if the concepts are already familiar.
- 2014-10-09 05:08:06下载
- 积分:1