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小波变换的一些源程序
小波变换的一些源程序-wavelet transform some source
- 2022-02-05 13:10:04下载
- 积分:1
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TI C64X下垂直小波变换的手工汇编源代码
TI C64X下垂直小波变换的手工汇编源代码-TI C64X perpendicular wavelet transform manual compilation of source code
- 2023-07-08 04:35:03下载
- 积分:1
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Contourlet变换的实现源码。相关理论可参考:Do M N, Vetterli M. "The contourlet transform: an effi
Contourlet变换的实现源码。相关理论可参考:Do M N, Vetterli M. "The contourlet transform: an efficient directional multiresolution image representation" [J]. Image Processing, IEEE Transactions on, 2005, 14 (12): 2091-2106.-Transform realize Contourlet source. Relevant theory may refer to: Do MN, Vetterli M. The contourlet transform: an efficient directional multiresolution image representation [J]. Image Processing, IEEE Transactions on, 2005, 14 (12): 2091-2106.
- 2022-04-21 23:24:00下载
- 积分:1
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小波与计算机图形学
小波与计算机图形学-wavelet and computer graphics
- 2023-05-12 13:45:04下载
- 积分:1
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小波算法的VC源代码,说明详细,有很强的参考价值
小波算法的VC源代码,说明详细,有很强的参考价值-Wavelet algorithm VC source code, detailed description, have a strong reference value
- 2022-01-31 13:31:14下载
- 积分:1
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离散小波变换源程序
离散小波变换源程序-DWT source
- 2022-11-24 20:35:03下载
- 积分:1
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第二代提升法实现的小波变换程序
第二代提升法实现的小波变换程序-second-generation upgrade of the law to achieve wavelet transform procedures
- 2023-04-23 17:40:02下载
- 积分:1
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3D wavelet transform coding, SPIHT method is used.
3D的小波变换编码,用的是SPIHT方法。-3D wavelet transform coding, SPIHT method is used.
- 2023-01-19 09:35:03下载
- 积分:1
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CDF 9 / 7小波变换的matlab代码
CDF 9/7 Wavelet Transform matlab code-CDF 9/7 Wavelet Transform Matlab code
- 2022-08-23 19:32:27下载
- 积分:1
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ICA algorithm:The algorithm is equivalent to Infomax by Bell and Sejnowski 1995...
ICA算法The algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.-ICA algorithm:The algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.
- 2022-07-02 10:14:29下载
- 积分:1