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500wavlet

于 2020-06-29 发布 文件大小:49KB
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下载积分: 1 下载次数: 24

代码说明:

  小波变换的程序包括小波变化 小波分解小波包分解程序(Wavelet transform procedures include wavelet transform wavelet decomposition wavelet packet decomposition program)

文件列表:

500wavlet
.........\123.txt,12000,2015-01-20
.........\exp.txt,220,2015-01-19
.........\fftseq.m,523,2016-04-23
.........\outt.xls,134656,2015-01-19
.........\problem4_1.m,5299,2015-01-19
.........\problem4_2.m,5533,2015-01-20
.........\Untitled.m,2134,2016-04-23
.........\Untitled2.m,167,2016-04-23
.........\Untitled3.m,1786,2016-04-23
.........\Untitled4.m,286,2015-01-19
.........\Untitled5.m,2326,2016-04-23
.........\Untitled7.m,2687,2016-04-23
.........\w722005.xls,15360,2015-01-19
.........\wavelet.m,4063,2015-01-19

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    2020-12-09 21:09:20下载
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    说明:  小波变换算法的C语言实现,包括DWT,INDWT,提升小波,以及小波去噪的MATLAB源代码(wavelet transform algorithm in C language, including DWT, INDWT upgrade wavelet Wavelet denoising and MATLAB source code)
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  • xinhaoquzao
    利用小波变换进行改进阈值信号去噪 (Improvement threshold signal denoising using wavelet transform)
    2012-10-29 16:35:35下载
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    复杂杂波背景下,海面红外图像中舰船目标检测的关键是如何降低虚警、检测出真正的 目标。为了实现这个目标,首先利用Haar小波函数进行小波变换,对图像进行预处理;然后进行恒 虚警检测(CFAR);第三步采用行程法对检测的目标进行标记;最后采用管道滤波法剔出虚假目标, 检测出真正的目标。经仿真实验证明,此方法能有效地降低虚警,在复杂杂波背景中检测出目标。 (The key of ship detection in sea infrared image with complex clutter background is how to reduce false alarms and detect true targets.In order to achieve this aim,a novel algorithm is proposed. First,Haar wavelet transform technology is used as preprocessing,then constant false alarm rate(CFAR) detetion,then run-length label to mark objects detected by the above step,finally pipeline filter to reduce false alarms and detect true targets.Experiment results indicate that this method can effectively reduce false alarms and detect true targets in complicated sea background. )
    2012-03-12 14:14:55下载
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  • tei_kr12
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    2017-05-27 14:13:25下载
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    2008-07-24 14:00:02下载
    积分:1
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    希尔伯特变换和小波包结合的齿轮箱故障诊断方法,里面有具体的介绍小波包的分层方法,非常详细,可以下下来看看(Hilbert transform and wavelet packet of gearbox fault diagnosis method, there is detailed introduction inside the layered method of wavelet packet is very detailed, can down and have a look )
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