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jsjshjueintrduction
计算机视觉文本介绍,包括研究背景、意义、以及应用(Text of computer vision, including research background, significance, and application)
- 2007-11-13 10:06:23下载
- 积分:1
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registrationfusion
这是一些关于特征配准和融合的一些文章,对做这一方面的应该有所借鉴(which is a characteristic of fusion and registration of some articles, so in this respect there should be some reference)
- 2006-11-08 08:52:50下载
- 积分:1
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均值滤波
说明: matlab实现均值滤波,中值滤波,同时操作(Matlab to achieve mean filtering, median filtering)
- 2021-03-29 09:44:09下载
- 积分:1
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APF_Threelevel_OK
说明: 用simulink进行的有源电力滤波器的仿真,波形清晰(Simulation of active power filter with clear waveform)
- 2020-05-01 16:08:10下载
- 积分:1
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image_stitching
视频拼接,自己改正后可以实现自己需要的目的, 下载请测试(Video stitching, self correction, you can achieve the purpose of their own, download, please test)
- 2017-09-18 15:00:23下载
- 积分:1
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ChMkJ1iF3QCIBzh1ACRfTn3s3O8AAZgngPV16MAJF9m779
帮助大家认识显卡性能,可以直观的见识显卡天梯(To help you understand the graphics card performance)
- 2017-07-30 20:07:28下载
- 积分:1
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图像质量评价中全参考方法IWSSIM的代码 iwssim_iwpsnr
图像质量评价中全参考方法IWSSIM的代码,是经典方法SSIM的升级(The code of IWSSIM, a full reference method in image quality evaluation, is an upgrade of SSIM, a classical method)
- 2020-06-18 02:40:02下载
- 积分:1
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BM3D
说明: 经典的BM3D算法,针对图像去噪处理,完整的Matlab代码(Classic BM3D algorithm)
- 2021-01-15 15:28:46下载
- 积分:1
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dynamics-simulation
这是一个对动力学模型进行仿真的代码,可以得出动力学仿真图像(dynamics simulation )
- 2013-05-30 20:32:59下载
- 积分:1
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dual-tree
首先将非平稳的故障振动信号进行双树复小波包分解,得
到不同频带的分量;然后对每个分量求其峭度值和相关系数并进行比较;最后选取峭度值和相关系数较大的分量
进行软阈值降噪和双树复小波包重构,即可有效地消除振动信号中噪声的干扰,同时保留信号中的有效信息即实
现了故障特征信息的提取。(In view of the above situation, a new fault diagnosis
method is proposed based on dual-tree complex wavelet packet transform and threshold de-noising. Firstly, the
non-stationary fault signal is decomposed into several different frequency band components through dual-tree
complex wavelet packet decomposition. Secondly, Kurtosis and the cross-correlation coefficient of each
component are obtained and compared. Due to the kurtosis reflecting the signal variations, if the kurtosis value is
bigger, the degree of the change of signal is bigger too. The correlation coefficient can reflect the proximity
between the component and the original signal at the same time, the correlation coefficient is bigger, the more
similar with the original signal. Finally, the components that have a bigger value are chosen to be de-noised by a
soft threshold and reconstructed by dual-tree complex wavelet packet transform. The noise interference was
eliminated effectively, and the effective si)
- 2014-05-28 17:02:14下载
- 积分:1