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Chirplet Transform
基于Wigner-Ville分布的Chirplet变换,用于信号的时频分析。
- 2022-03-16 22:20:40下载
- 积分:1
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createDictionary
图像的压缩感知进行稀疏化时,首先需要进行创建字典,本程序就可以创建gabor字典(to create the gabor dicitionary)
- 2011-11-22 13:49:55下载
- 积分:1
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chapter10
《小波分析理论与MATALB R2007 实现》第10章源码(wavelet analysis using matlab)
- 2012-10-08 22:41:10下载
- 积分:1
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transform_xiaobo
小波变换的C源代码。
这个用的是 DB4小波,周期延拓,可以实现精确重构的。 (wavelet transform C source code. The DB4 is using the wavelet cycle extension can achieve precise reconstruction.)
- 2021-01-06 12:28:54下载
- 积分:1
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非下采样小波变换的一个实现程序 UWT
非下采样小波变换的一个实现程序,对边缘和纹理提取效果较好(Nonsubsampled wavelet transform of an implementation program, better edge and texture extraction effect)
- 2020-11-25 09:49:32下载
- 积分:1
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wavelet-singularity
基于小波变换的信号奇异性检测,小波模极大值的计算(The signal singularity detection based on wavelet transform
)
- 2020-08-24 19:18:15下载
- 积分:1
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wavelet-transform
对含噪声信号进行小波变换;对变换得到的小波系数进行某种处理,以去除其中包含的噪声;对处理后的小波系数进行小波逆变换,得到去噪后的信号(Containing noise signal wavelet transform the wavelet transform coefficients to a treatment to remove the noise contained therein the treated wavelet inverse wavelet transform coefficients to obtain a denoised signal)
- 2013-10-17 11:30:13下载
- 积分:1
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small
基于小波变换的图像去噪的matlab程序的源代码
基于小波变换的图像去噪的matlab程序的源代码(里面包含了源代码和运行的结果,(Image denoising based on wavelet transform of the matlab program s source code
Image denoising based on wavelet transform of the matlab program s source code (which contains the source code and run the results of)
- 2009-11-08 17:51:35下载
- 积分:1
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wtquzao
说明: 小波阈值去噪,用于对以为信号降噪处理,代码为matlab代码,亲测有效(Wavelet threshold denoising)
- 2019-06-21 09:20:45下载
- 积分:1
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wnn
说明: 这是一个用小波神经网络进行非线性函数逼近的例子,拟合效果非常好,保证能运行!有详细注释!我是参考《青岛海洋大学学报》 2001年第1期 一种基于BP算法学习的小波神经网络编写的,大家可以针对原文更好的理解我的程序!(This is a wavelet neural network with nonlinear function approximation example of fitting results is very good, guaranteed to run! Detailed Notes! I refer to Journal of Ocean University of Qingdao,2001 ,“a learning algorithm based on BP wavelet neural network ”, you will understand me better for program!)
- 2010-03-18 22:13:54下载
- 积分:1