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Savitzky-Golay filter

于 2018-03-28 发布文件大小:850KB

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下载积分: 1 下载次数: 7

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Savitzky-Golay滤波是一种工程应用数据处理中高效的滤波方法，能同时得到平滑后的数据和数据梯度。(Savitzky-Golay filter is an efficient filtering method in engineering application data processing, which can simultaneously obtain the smoothed data and data gradient.)

文件列表：

Savitzky-Golay filter\Savitzky-Golay filter\Data_T.dat, 579022 , 2018-01-25
Savitzky-Golay filter\Savitzky-Golay filter\Debug\BuildLog.htm, 3276 , 2018-01-26
Savitzky-Golay filter\Savitzky-Golay filter\Debug\vc100.pdb, 53248 , 2018-01-26
Savitzky-Golay filter\Savitzky-Golay filter\Debug\滤波.exe.intermediate.manifest, 381 , 2018-01-26
Savitzky-Golay filter\Savitzky-Golay filter\Debug\滤波.obj, 13588 , 2018-01-26
Savitzky-Golay filter\Savitzky-Golay filter\Debug\滤波.pdb, 2370560 , 2018-01-26
Savitzky-Golay filter\Savitzky-Golay filter\Debug\滤波_m100.exe, 955392 , 2018-01-26
Savitzky-Golay filter\Savitzky-Golay filter\Savitzky-Golay filter.f90, 1764 , 2018-03-08
Savitzky-Golay filter\Savitzky-Golay filter\Savitzky-Golay filter.u2d, 212 , 2018-03-28
Savitzky-Golay filter\Savitzky-Golay filter\Savitzky-Golay filter.vfproj, 2016 , 2018-01-26
Savitzky-Golay filter\Savitzky-Golay filter.sln, 884 , 2018-01-26
Savitzky-Golay filter\Savitzky-Golay filter.suo, 11264 , 2018-03-28
Savitzky-Golay filter\Savitzky-Golay filter\Debug, 0 , 2018-03-28
Savitzky-Golay filter\Savitzky-Golay filter, 0 , 2018-03-28
Savitzky-Golay filter, 0 , 2018-03-28

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61
说明：提出了一种结合SVD的小波变换方法，对其在外弹道测量数据中的野值剔除进行了研究。对观测数据进行小波分解，将小波分解后的近似分量和细节分量组合实现相空间重构，作为SVD方法的输入观测矩阵，根据奇异熵增量准则，对奇异值进行筛选，根据SVD逆变换重构原信号。这一方法克服了Hankel矩阵相空间构建方法数据端点失真问题。以小波分解后分量重构的相空间可以满足正交性，进一步提高了SVD进行数据降噪和野值检测的精度。仿真数据和试验数据处理结果证明了这一方法的有效性。(Proposed a method of combining the SVD wavelet transform its outer ballistic measurement data in excluding outliers were studied. Observational data on wavelet decomposition, wavelet decomposition of the approximate combined component and detail component to achieve the phase space reconstruction, as the input observation matrix SVD method, based on singular entropy increment standards, singular value filter, according to the inverse transform heavy SVD structure of the original signal. This approach overcomes the Hankel matrix phase space construction method data endpoint distortion. Wavelet decomposition component of reconstruction phase space satisfy orthogonality, to further improve the SVD for data noise reduction and outlier detection accuracy. Simulation data and experimental data processing results prove the effectiveness of this approach.)

2013-06-02 11:10:21下载

积分：1
wavelet-estimation-based
基于四阶累积量的矩阵方程法子波估计,对研究子波的有一定的帮助(based on the forth cumulantion seismic wavelet estimation)

2012-04-12 11:17:51下载

积分：1
liftwaveletpack
提升小波包学习资料，对了解学习提升小波包，研究算法的改进很有帮助(Lifting wavelet package learning materials, learning to enhance the understanding of wavelet packet of helpful Algorithm)

2010-10-21 21:34:13下载

积分：1
wavelet
说明：用于求取小波包变换后小波系数的熵值，对初学者很有帮助(Used to obtain the wavelet coefficients after wavelet packet entropy, helpful for beginners)

2011-04-15 19:08:13下载

积分：1
code
小波域图像滤波，采用双变量收缩函数发实现(Bivariate Shrinkage Functions for Wavelet-Based Denoising)

2010-10-27 14:39:16下载

积分：1
jixujiaoyu1
很好的继续教育教材，提升素质必备啊！不可错过！十分的好(Good continuing education materials, enhance the quality of essential ah!)

2015-03-02 19:51:23下载

积分：1
wavlet
图像小波变换，可以求图像小波分解系数图，阶数可以自己设定(tuxiangxiaobobianhuan)

2010-05-30 22:19:25下载

积分：1
matlab_EZW
嵌入式小波图像编码即EZW是最近很流行的一种编码方式，我的程序是用matlab实现对EZW的描述。(Embedded Wavelet EZW image coding that is very popular recently as a way of coding, I use the matlab process is to achieve a description of the EZW.)

2020-11-30 15:59:27下载

积分：1
thresholddenoisingbasedonwavelet
小波阈值去噪的经典程序，基于小波变换阈值去噪的MATLAB源代码，效果很好。 (Classic wavelet threshold denoising procedure threshold denoising based on wavelet transform of MATLAB source code, works well.)

2010-06-02 11:15:33下载

积分：1
xiaoboshang
说明：计算小波分解后的能量及小波熵。里面还有OFDM信号和WPM信号的程序。(After calculating the energy of wavelet decomposition and wavelet entropy. There is also OFDM signal and the WPM signal process.)

2011-03-31 10:41:02下载

积分：1

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