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Digital-Image-Processing-MATLAB
说明： 数字图像处理方面的专业类书籍，中文版，适合系统的学习数字图像处理(Digital image processing professional books, Chinese for the study of digital image processing system)
- 2011-02-26 10:54:01下载
- 积分：1
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matlabnihe
MATLAB插值与拟合（线性拟合函数：regress()
多项式曲线拟合函数：polyfit( )
多项式曲线求值函数：polyval( )
多项式曲线拟合的评价和置信区间函数：polyconf( )
稳健回归函数：robust( )
向自定义函数拟合
）(MATLAB interpolation and fitting (linear fitting function : regress () function polynomial curve fitting : polyfit () polynomial curve function : polyval () polynomial curve fitting and evaluation function confidence interval : polyconf () function Robust Regression : robust () function to define fitting))
- 2021-02-19 12:29:44下载
- 积分：1
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lectorvillas2015
new code for RR3036 NFC code
- 2015-01-25 02:57:51下载
- 积分：1
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eeglab9_0_3_4b
eeg数据处理,此代码为美国ucsd脑科学实验室开发的著名实验程序。(eeg data processing)
- 2011-01-12 13:38:52下载
- 积分：1
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framesubstract
说明： 帧差法实现视频图像的读取和运动目标的检测。(The video frame difference method of reading and moving target detection.)
- 2010-04-23 10:24:39下载
- 积分：1
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non-linear-ansis-for-structure
非线性结构力学分析的matlab源程序non-linear ansis for structure(non-linear ansis for structure)
- 2012-03-29 12:54:24下载
- 积分：1
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ieee33DSE-power-flow
利用牛顿拉夫逊法对IEEE30配电网系统进行潮流计算，为配电网状态估计提供初值(to get power flow of ieee30 by newton-rafson,then provide the strat state for dse)
- 2015-10-10 14:14:00下载
- 积分：1
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dataset_editing
实现基于NeuroScan平台采集的脑电信号的数据分类、打标等功能(Realize the functions of data classification and marking, etc.of EEG collected by NeuroScan platform)
- 2016-01-21 12:53:30下载
- 积分：1
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IterativeClosestPointMethod
ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points.
Ordinary usage:
[R, T] = icp(model,data)
INPUT:
model - matrix with model points,
data - matrix with data points,
OUTPUT:
R - rotation matrix and
T - translation vector accordingly
so
newdata = R*data + T .
newdata are transformed data points to fit model
see help icp for more information
(ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points.
Ordinary usage:
[R, T] = icp(model,data)
INPUT:
model- matrix with model points,
data- matrix with data points,
OUTPUT:
R- rotation matrix and
T- translation vector accordingly
so
newdata = R*data+ T .
newdata are transformed data points to fit model
see help icp for more information
)
- 2007-09-09 16:06:34下载
- 积分：1
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MyEntropy
说明： 计算香浓信息熵，方便快捷的matlab代码，可以简单直接调用(Calculated Shannon information entropy, convenient matlab code can be simple and direct calls)
- 2010-03-26 15:04:24下载
- 积分：1
