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colour_detection_by_webcam
colour detection by wecam(color detection by wecam)
- 2007-07-01 10:50:46下载
- 积分：1
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sift
说明： 该代码经本人亲自测试，完全通过运行，提取的特征点数量较多(I personally tested by the code, completely by running a larger number of feature points extracted)
- 2011-03-21 20:01:03下载
- 积分：1
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POD1
POD分解，本证正交分解，用于能量，频率等的提取和分解分析(POD decomposition, orthogonal decomposition of the card used for the extraction of energy, frequency and decomposition analysis)
- 2013-03-30 20:13:02下载
- 积分：1
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FFT
脑波FFT变换
调用格式见m文件头部说明（下边也复制了一份）
有配套.DLL.h.lib.ctf文件，可以在C或C++环境中调用
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保存为FFT.m文件
输入参数： N：进行FFT变换的点数（要求是2的N次幂）；
fs：信号的采样频率（frequency of simpling）
sig：进行FFT变换的数组（一维）。
输出参数： f_sig:变换后的信号（一维数组）
E_delta、E_theta 、E_alpha、E_beta分别表示δθαβ相应频段的能量加和。
other为其余频段的能量加和（供参考用）
--------------------------------------------------------------------------
function[ f_sig ,E_delta , E_theta , E_alpha , E_beta , other ] = FFT( N , fs , sig )(EEG FFT transform is called m file format, see head illustrate the matching DLL files, you can be C or C++ to call------------------------ simpling) sig: to FFT transform array (one dimension). Output Parameters: f_sig: transformation of the signal (one-dimensional array) E_delta, E_theta, E_alpha, E_beta δθαβ, respectively, the energy increases and the corresponding frequency band. Other for the rest of the energy band increases, and (for reference) -------------------------------------------------------------------------- function [f_sig, E_delta, E_theta, E_alpha, E_beta , other] = FFT (N, fs, sig))
- 2009-11-07 20:27:52下载
- 积分：1
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nrsfm_matlabCode
说明： 用MATLAB编写的meanshift分割图像的方法，供大家参考!(meanshift)
- 2010-04-02 11:53:57下载
- 积分：1
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BSS
ICA 盲源分离MATLAB程序，程序实现了多个说话人语音识别和分离。(ICA CODE ,sound proccesing)
- 2014-09-26 15:43:07下载
- 积分：1
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bea
说明： BEA的一些相关资料，对于初学入门的人是比较不错的(BEAs some relevant information, for beginners to get into a good person is more)
- 2010-04-25 20:58:52下载
- 积分：1
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visualCRv2123
discover far-close relations (distances) between especially many clusters in high-dimensional space
- 2010-10-28 17:45:00下载
- 积分：1
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NetCreate
现有的几个网络拓扑随机发生器，其实很难生成理想的网络拓扑结构，其主要原因在于很难控制节点的疏密和间距。我们提出来的这个改进算法，在随机抛撒节点的时候使用了K均值聚类，由本算法作为网络拓扑发生器，网络节点分布均匀且疏密得当，边的分布也比较均衡(The few existing random network topology generator, is in fact very difficult to generate the desired network topology, the main reason it is difficult to control the node density and spacing. We put forward the improved algorithm, throw in random nodes when using the K-means clustering, by the algorithm as a network topology generator, network nodes and spacing evenly distributed properly, the edge of a more balanced distribution of)
- 2008-04-19 09:20:34下载
- 积分：1
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matlab_pro
matlab实现信号分类，根据信号的相关性，获取信号类别，自动进行信号分类(matlab realize signal classification, in accordance with the correlation signal to obtain the signal type, automatic signal classification)
- 2008-03-24 15:53:58下载
- 积分：1
