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Multidimensional ESPRIT: A coupled canonical polyadic decomposition approach

机译:多维ESPRIT:耦合规范多态分解方法

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摘要

The ESPRIT method is a classical method for one-dimensional harmonic retrieval. During the past two decades it has become apparent that several applications in signal processing correspond to the less studied Multi-dimensional Harmonic Retrieval (MHR) problem. In order to accommodate this demand, we propose an extension of ESPRIT to MHR based on the coupled canonical polyadic decomposition. This leads to a dedicated uniqueness condition and an algebraic framework for MHR.
机译:ESPRIT方法是用于一维谐波检索的经典方法。在过去的二十年中,很明显,信号处理中的几种应用对应于研究较少的多维谐波检索(MHR)问题。为了适应这种需求,我们建议将ESPRIT扩展到基于耦合经典正弦分解的MHR。这导致了专用的唯一性条件和MHR的代数框架。

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