Shaped extensions of singular spectrum analysis
Shaped extensions of singular spectrum analysis
复制标题
奇异谱分析的形状扩展
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
N. Golyandina
中科院分区：
文献类型：
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作者：
Alexander Shlemov;N. Golyandina
研究了奇异谱分析（SSA）在处理非矩形图像和带间隙的时间序列中的扩展。建议使用圆形版本，允许将该方法应用于圆形或圆柱体上给出的数据，例如3D椭球体的圆柱体投影。构造的具有平面或圆形拓扑结构的形状SSA方法能够对复杂形状的图像产生低秩逼近。结合形状SSA，提出了基于子空间的ESPRIT频率估计方法的形状版本。给出了二维圆形SSA和二维形状ESPRIT的实例。
Extensions of singular spectrum analysis (SSA) for processing of non-rectangular images and time series with gaps are considered. A circular version is suggested, which allows application of the method to the data given on a circle or on a cylinder, e.g. cylindrical projection of a 3D ellipsoid. The constructed Shaped SSA method with planar or circular topology is able to produce low-rank approximations for images of complex shapes. Together with Shaped SSA, a shaped version of the subspace-based ESPRIT method for frequency estimation is developed. Examples of 2D circular SSA and 2D Shaped ESPRIT are presented.
DOI：
10.1109/29.32276
发表时间：
1989-07-01
期刊：
IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING
影响因子：
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作者：
ROY, R;KAILATH, T
通讯作者：
KAILATH, T