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1. 发明申请

US20100179974A1 Signal Processing Method for Hierarchical Empirical Mode Decomposition and Apparatus Therefor 审中-公开
标题翻译：用于分层经验模式分解的信号处理方法及其设备
公开(公告)号：US20100179974A1
公开(公告)日：2010-07-15
申请号：US12684446
申请日：2010-01-08
申请人： Sun-Hua Pao , Chien-Lun Tseng
发明人： Sun-Hua Pao , Chien-Lun Tseng
IPC分类号： G06F17/14 , G06F17/10 , G06F7/00
CPC分类号： G06F17/14
摘要： A signal processing method for performing hierarchical empirical mode decomposition (H-EMD) and an apparatus therefor are provided. In an embodiment, when empirical mode decomposition is performed on an input signal, an artificial assisting signal and the input signal are combined to assist the search for extrema and frequency reduction is performed in each iteration to eliminate the artificial assisting signal and make mode decomposition convergent so as to avoid mode mixing. In addition, in an embodiment, a hierarchical decomposition method is provided to decompose the input signal into a fewer number of fundamental modes. For needs in application, one of the fundamental modes can be further decomposed to produce a number of supplementary modes. In an embodiment, the H-EMD with appropriate frequency reduction can result in modes substantially independent of the form or the way of envelopes and can be applied to decompose multi-dimensional signals.
摘要翻译：提供一种用于执行分级经验模式分解（H-EMD）的信号处理方法及其装置。在一个实施例中，当对输入信号执行经验模式分解时，组合人造辅助信号和输入信号以辅助搜索极值，并且在每次迭代中执行频率降低以消除人造辅助信号并使模式分解收敛以避免模式混合。此外，在一个实施例中，提供了一种分级分解方法来将输入信号分解成较少数量的基本模式。对于应用需要，其中一种基本模式可以进一步分解，产生多种辅助模式。在一个实施例中，具有适当频率降低的H-EMD可以导致基本上独立于包络的形式或方式的模式，并且可以应用于分解多维信号。

2. 发明授权

US08428389B2 Multi-dimensional empirical mode decomposition (EMD) method for image texture analysis 有权
标题翻译：用于图像纹理分析的多维经验模式分解（EMD）方法
公开(公告)号：US08428389B2
公开(公告)日：2013-04-23
申请号：US12555158
申请日：2009-09-08
申请人： Sun-Hua Pao , Yio-Wha Shau , Ming-Chien Yu , Chien-Lun Tseng
发明人： Sun-Hua Pao , Yio-Wha Shau , Ming-Chien Yu , Chien-Lun Tseng
IPC分类号： G06K9/36
CPC分类号： G06T7/0012 , G06T7/41 , G06T2207/10132 , G06T2207/20108 , G06T2207/30056
摘要： A multi-dimensional empirical mode decomposition method is provided. The method can be applied in image texture analysis, such as medical image analysis. The method can adaptively decompose a three-dimensional image into a number of characteristic image layers and extract characteristic images showing more noticeable textures from the layers. The method uses the physical concept of field to perform the data mode decomposition to obtain envelope and tendency estimation of multi-dimensional data. The method can also be applied in time and frequency analysis of two-dimensional data or multi-channel data.
摘要翻译：提供了一种多维经验模式分解方法。该方法可应用于图像纹理分析，如医学图像分析。该方法可以将三维图像自适应地分解为多个特征图像层，并且从层中提取显示更加显着纹理的特征图像。该方法使用场的物理概念进行数据模式分解，以获得多维数据的包络和趋势估计。该方法也可以应用于二维数据或多通道数据的时间和频率分析。

3. 发明申请

US20100074496A1 MULTI-DIMENSIONAL EMPIRICAL MODE DECOMPOSITION (EMD) METHOD FOR IMAGE TEXTURE ANALYSIS 有权
标题翻译：用于图像纹理分析的多维实体模式分解（EMD）方法
公开(公告)号：US20100074496A1
公开(公告)日：2010-03-25
申请号：US12555158
申请日：2009-09-08
申请人： Sun-Hua Pao , Yio-Wha Shau , Ming-Chien Yu , Chien-Lun Tseng
发明人： Sun-Hua Pao , Yio-Wha Shau , Ming-Chien Yu , Chien-Lun Tseng
IPC分类号： G06K9/00 , G06K9/46
CPC分类号： G06T7/0012 , G06T7/41 , G06T2207/10132 , G06T2207/20108 , G06T2207/30056
摘要： A multi-dimensional empirical mode decomposition method is provided. The method can be applied in image texture analysis, such as medical image analysis. The method can adaptively decompose a three-dimensional image into a number of characteristic image layers and extract characteristic images showing more noticeable textures from the layers. The method uses the physical concept of field to perform the data mode decomposition to obtain envelope and tendency estimation of multi-dimensional data. The method can also be applied in time and frequency analysis of two-dimensional data or multi-channel data.
摘要翻译：提供了一种多维经验模式分解方法。该方法可应用于图像纹理分析，如医学图像分析。该方法可以将三维图像自适应地分解为多个特征图像层，并且从层中提取显示更加显着纹理的特征图像。该方法使用场的物理概念进行数据模式分解，以获得多维数据的包络和趋势估计。该方法也可以应用于二维数据或多通道数据的时间和频率分析。

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