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BPPatternRecognition
MATLAB编写的误差反向传播(BP)神经网络简单分类器。(MATLAB prepared by error back-propagation [BP] neural network classifier easy.)
- 2009-02-23 12:31:09下载
- 积分:1
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Wienernoisesuppression
维纳噪声抑制,1、 实验原理是利用信号之间的相关性进行信号估计,从而将噪声滤除;
2、 辅助观测信号的噪声抑制可利用Wiener-Hopf方程 求出维纳滤波器的系数 ,式中 是 的自相关阵, 是输入信号 和滤波器输入 之间的互相关矢量;
(Wiener noise suppression, 1, experiment is the use of the correlation between the signals for signal estimation, which will filter out the noise 2, the auxiliary noise suppression observed signal Wiener-Hopf equation can be obtained by Wiener filter coefficients, where is the autocorrelation matrix, is the input signal and filters the cross-correlation between the input vector )
- 2010-11-21 11:38:14下载
- 积分:1
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matlabexample
源码,非常实用,里外都是经过上机调试的源码,可以直接使用!(Source, very useful, both inside and outside the machine through the source debugger, you can directly use!)
- 2008-08-04 17:35:19下载
- 积分:1
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WVDist_thfeng
说明: 该程序可以生成WVD分布,将其做成函数可以方便研究员做研究使用。(it can generate the WVD function.)
- 2011-03-14 23:19:30下载
- 积分:1
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gui_tutorial_images_1
gui tutorial images part1
- 2014-02-23 01:58:20下载
- 积分:1
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stduy_of_DCDC02
基于移相全桥控制双向DCDC变换器matlab仿真原理图,可以在此基础上加以改进(Based on the full-bridge phase-shift control bidirectional DCDC converter matlab simulation schematic, can be improved on this basis)
- 2012-12-17 12:40:25下载
- 积分:1
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filterbank
matlab code for filterbank
- 2009-12-14 11:14:00下载
- 积分:1
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BPclose
bp 网络逼近函数,作正弦函数逼近.对初学者来说是不错的例子.(bp network approximation functions for sine function approximation. For beginners is a good example.)
- 2007-04-23 16:16:08下载
- 积分:1
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gm11_1
灰色预测程序,由于少数据量的预测比较准确(Grey forecasting process is a more accurate forecast, due to a small amount of data)
- 2012-08-14 09:49:13下载
- 积分:1
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CE_Upload
Thresholding is used to segment an image by setting all pixels whose intensity values are above a threshold to a foreground value and all the remaining pixels to a background value.
Whereas the conventional thresholding operator uses a global threshold for all pixels, adaptive thresholding changes the threshold dynamically over the image. This more sophisticated version of thresholding can accommodate changing lighting conditions in the image, e.g. those occurring as a result of a strong illumination gradient or shadows.
- 2015-02-25 17:46:51下载
- 积分:1