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waveletConstruction
小波构造MATLAB源程序代码,希望对大家有帮助!(Wavelet MATLAB source code for all of us want to help!)
- 2009-07-11 19:40:04下载
- 积分:1
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Caverage
进行C均值聚类,样本是男女身高体重数据,在程序中增加了很多注释说明部分,适合广大初学者。(Perform C-means clustering, the sample was male and female height and weight data, adds a lot of explanatory notes section in the program, for the majority of beginners.)
- 2013-12-29 17:53:26下载
- 积分:1
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audio_matlab
source code for bss for separating audio
- 2011-02-02 23:55:32下载
- 积分:1
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DC_AC
各种逆变方式的simuliink仿真(原创) 源码+总结文档(Various the inverter ways of simuliink simulation (original) source+ summary document)
- 2013-04-10 10:54:25下载
- 积分:1
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1
说明: Recording and playback audio signal display
- 2014-12-21 22:00:18下载
- 积分:1
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AdaptiveWavelet
Adaptive Wavelet Thresholding for Image Denoising and Compression.pdf
- 2013-12-27 23:51:30下载
- 积分:1
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kill-hdd
This example shows the complete Kill, Hard Disk
- 2014-01-20 16:31:43下载
- 积分:1
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matlabyansekongjianbianhuan
很好的图像处理代码。希望对你有用。谢谢。请多多至此(Very good image processing code. Hope useful to you. Thank you. Please lot to this)
- 2010-06-01 17:06:34下载
- 积分:1
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echocancellation
echo cancellation by using adaptive filter NLMS
- 2011-08-04 23:35:37下载
- 积分:1
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6787-14807-1-PB
A Novel Image Reconstruction Algorithm Based
on Concatenated Dictionary
This paper presents a novel method for image
reconstruction, which decomposites the image by
concatenating a redundant dictionary of several bases and
then reconstruct the image efficiently by means of Matching
Pursuit algorithm. The proposed method constructs the
concatenated dictionary with cosine bases, wavelet bases
and contourlet bases, which will lead to a better
approximation of the original image. The experimental
results show that the proposed algorithm can greatly reduce
the computational complexity and generate a better
reconstruction effect compared with previous methods.(A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.)
- 2013-11-24 21:37:52下载
- 积分:1