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BE-CO-RO-1991
Fast wavelet transforms and numerical algorithms 1
- 2013-12-27 23:53:23下载
- 积分：1
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XCT_wavetest
matlab程序，X-CT图像处理，用小波分解去除噪声(matlab program, X-CT image processing, noise removal by wavelet decomposition)
- 2009-05-12 17:21:25下载
- 积分：1
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用opencv实现各种低通滤波器
对图像进行滤波处理是图像处理中最常见的一种操作类型。而这其中低通滤波（也可以叫做平滑）有事各种滤波处理中最常用的。这里就简单写写 OpenCV 中提供的几种低通滤波方法。
具体思路：对源图像进行离散傅里叶变换，滤波后通过cvDFT进行傅里叶逆变换得到理想低通滤波器、巴特沃斯低通滤波器、高斯低通滤波器后图像
- 2022-03-04 13:06:18下载
- 积分：1
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mh_maichong_test
matlab计算haar 小波各级近似系数和细节系数的频率响应（CA1，CD1，CA2，CD2，CA3），并画出幅频图，便于理解小波变换的意义，(U191 u7197 u5c1 u5c1 u5Fc1 u4Fc u653 u564C u548C u7286 u8282 u7CFB u6570 u7684 u9891 u54CD u5E94 uFF08CA1 uFF0CCD1 uFF0CCA2 uFF0CCD2 UFF0CCA3 uFF09 uFF0C u5E76 u753B u51FA u5E45 u9891 u56FE uFF0C u4FBF u4E8E u7406 u89E3 u5C0F u6CE2 u53D8 u6362 u7684 u610F u4E49 uFF0C)
- 2017-05-19 16:39:01下载
- 积分：1
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dt-dwt_F
说明： 双树复数小波变换的Matlab程序的F部分，全部解压到同一个文件夹下后可直接调用函数(Dual-Tree Complex Wavelet Transform Matlab for the F part of the procedure, all extract to the same folder can be a direct call function)
- 2009-08-07 14:46:02下载
- 积分：1
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predectif-detection-of-defects
Resumé de l’article:
"Early Detection of Fatigue Damage on Rolling Element Bearings Using Adapted Wavelet" par Xavier Chiementin, Fabrice Bolaers, Jean-Paul Dron en franç ais
- 2012-04-10 17:29:32下载
- 积分：1
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wave
Harr小波具有紧支撑、零调和性和优良的正交性等优点，因此选择它作为小波变换的基函数。对采样数据进行4层小波包变换得到16维的特征样本。(Harr wavelet has compact support, zero reconcile and excellent orthogonality, etc., so choose it as the base function of wavelet transform. 4 layers of sampled data wavelet packet transform feature samples 16 dimensions.)
- 2014-09-17 16:25:07下载
- 积分：1
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22222
小波变换去噪，软阈值和硬阈值，以及自己的设计的阈值函数来去噪，毕业设计全套。很全面的资料，绝对最全面的资料，我保证(Wavelet denoising, soft thresholding and hard thresholding, as well as design their own threshold denoising function, the design of a full set of graduation. Comprehensive information is absolutely the most comprehensive information, I promise)
- 2020-12-01 17:19:26下载
- 积分：1
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BCS-SPL-1.5-new
Block-based random image sampling is coupled with a projectiondriven
compressed-sensing recovery that encourages sparsity in
the domain of directional transforms simultaneously with a smooth
reconstructed image. Both contourlets as well as complex-valued
dual-tree wavelets are considered for their highly directional representation,
while bivariate shrinkage is adapted to their multiscale
decomposition structure to provide the requisite sparsity constraint.
Smoothing is achieved via a Wiener filter incorporated
into iterative projected Landweber compressed-sensing recovery,
yielding fast reconstruction. The proposed approach yields images
with quality that matches or exceeds that produced by a popular,
yet computationally expensive, technique which minimizes total
variation. Additionally, reconstruction quality is substantially
superior to that from several prominent pursuits-based algorithms
that do not include any smoothing
- 2020-11-23 19:29:34下载
- 积分：1
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连续小波变换 cwt
实现连续小波变换，对信号进行频谱分析。精度很高(continuous wavelet transform)
- 2015-10-16 21:58:51下载
- 积分：1
