Complex empirical mode decomposition
Complex empirical mode decomposition
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DOI：
10.1109/lsp.2006.882107
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发表时间：
2007-02-01
影响因子：
3.9
通讯作者：
Mandic, Danilo P.
中科院分区：
文献类型：
--
作者：
Tanaka, Toshihisa;Mandic, Danilo P.
提出了一种复杂值数据的经验模式分解（EMD）的方法。这是根据对EMD映射的过滤库解释以及利用傅立叶光谱的正频率和负频率分量之间的关系来实现的。如此生成的固有模式函数（IMF）是复杂值的，这有助于将标准EMD扩展到复杂域。分析得到了对合成和现实世界复合价值信号的模拟支持。
A method for the empirical mode decomposition(EMD) of complex-valued data is proposed. This is achieved based on the filter bank interpretation of the EMD mapping and by making use of the relationship between the positive and negative frequency component of the Fourier spectrum. The so-generated intrinsic mode functions (IMFs) are complex-valued, which facilitates the extension of the standard EMD to the complex domain. The analysis is supported by simulations on both synthetic and real-world complex-valued signals.