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小波分析 编程
小波分析的各种尺度分解包括单尺度分解,多尺度分解以及小波包分解及重构,小波分解重构精简(All kinds of scale decomposition of wavelet analysis include single scale decomposition, multi-scale decomposition, wavelet packet decomposition and reconstruction, and wavelet decomposition and reconstruction.)
- 2018-04-11 09:10:51下载
- 积分:1
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NSCT
彩色图像融合 NSCT 实现红外与可见光图像融合(Color image fusion NSCT realize infrared and visible image fusion)
- 2014-12-25 16:11:03下载
- 积分:1
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BP
说明: 利用线性规划问题求解稀疏恢复问题的基追踪(basis pursuit,BP)算法,研究了在含有脉冲噪声干扰的原始信号环境下对经典基追踪算法的改进。(basis pursuit (BP) algorithm)
- 2018-06-08 21:40:56下载
- 积分:1
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2b509aabc32f4a3be87b452a94226f45
说明: 结合模糊C均值聚类算法与水平集方法的图像分割代码,分割效果良好。(The image segmentation code based on fuzzy c-means clustering algorithm and level set method has a good segmentation effect.)
- 2019-03-11 16:39:09下载
- 积分:1
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Data Acquisition
下面给出了48项泽尼克多项式,外加一项常数项。需要注意的是,读者并不需要严格按照下文所示的顺序排列这些泽尼克项,实际上在不同的应用和机构会采用不同的排列顺序。
表中的#0项是个常数或者说是平移项(piston term),这一项的系数也代表了平均光程差;而#1和#2项分别是x和y方向的倾斜项(tilt terms),#3代表了聚焦,因此,#1到#3项代表了波前的高斯或者近轴特性;#4和#5项代表了像散和离焦,#6和#7项代表彗差和倾斜,而#8项代表了3级像差和离焦,也就是说#4到#8项为3级相差项;同样地,#9到#15项代表了5级像差,而#16到#24项代表了7级像差,#25到#35项代表了9级像差,#36到#48项代表了11级像差。(Here are 48 Zernike polynomials, plus a constant term. It is important to note that the reader does not need to strictly arrange the Zernike entries in the order shown below, but in fact different orders of arrangement are applied to different applications and institutions.
Table #0 is a constant or a shift (piston term), a coefficient of this term also represents the average optical path difference; while #1 and #2 are inclined X and Y direction (tilt terms), #3 represents the focus, therefore, #1 to #3 on behalf of the wavefront. Gauss or paraxial properties; #4 and #5 represent the astigmatism and defocus, #6 and #7 represent coma and tilt, and #8 represents the 3 order aberration and defocus, that is to say #4 to #8 is 3 level difference; similarly, #9 to #15 on behalf of the 5 order aberration #16 and #24, to represent the 7 level #25 to #35 aberration, on behalf of the 9 #36 to #48 aberration, on behalf of the 11 order aberration.)
- 2017-10-09 16:29:16下载
- 积分:1
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Discrimination-Dictionary-Learning
Metaface Learning for Sparse Fisher Discrimination Dictionary Learning for Sparse Representation
- 2011-10-25 16:01:20下载
- 积分:1
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SIFT
SIFT匹配算法,能够提取出具有尺度不变性的特征点,且能够对两幅图像进行鲁棒的匹配。(SIFT matching algorithm, able to extract with the scale invariance of the feature points, and the two images to be able to match robust.)
- 2009-03-31 11:53:30下载
- 积分:1
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zheji-zhengyan-matlab
褶积模型 正演模拟 子波与反射系数合成地震响应(model zhengyanmoni zhejimoxing)
- 2021-04-23 11:48:47下载
- 积分:1
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dtcwpt
2-band discrete wavelet transform (DWT)
Dual-Tree Complex Wavelet Packet(The 2-band discrete wavelet transform (DWT) provides
an octave-band analysis in the frequency domain, but this
might not be ‘optimal’ for a given signal. The discrete wavelet
packet transform (DWPT) provides a dictionary of bases over
which one can search for an optimal representation (without
constraining the analysis to an octave-band one) for the signal
at hand. However, it is well known that both the DWT and the
DWPT are shift-varying. Also, when these transforms are extended
to 2-D and higher dimensions using tensor products, they
do not provide a geometrically oriented analysis. The dual-tree
complex wavelet transform (DT-CWT), introduced by Kingsbury,
is approximately shift-invariant and provides directional analysis
in 2-D and higher dimensions. In this paper, we propose a method
to implement a dual-tree complex wavelet packet transform (DTCWPT),
extending the DT-CWT as the DWPT extends the DWT.
To find the best complex wavelet packet frame for a given
signal, w)
- 2009-07-01 06:16:20下载
- 积分:1
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avi-to-yuv
视频格式转换 这里主要是mpeg格式 转化为avi,yuv等多种格式(Video format conversion here is mainly converted to avi mpeg format)
- 2013-06-20 22:51:19下载
- 积分:1