Title :
Multidimensional ESPRIT: A coupled canonical polyadic decomposition approach
Author :
Sorensen, Matthew ; De Lathauwer, Lieven
Author_Institution :
E.E. Dept., KU Leuven, Heverlee, Belgium
Abstract :
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.
Keywords :
algebra; signal processing; MHR problem; algebraic framework; coupled canonical polyadic decomposition; coupled canonical polyadic decomposition approach; multidimensional ESPRIT; multidimensional harmonic retrieval; signal processing application; Generators; Harmonic analysis; Signal processing algorithms; Symmetric matrices; Tensile stress; Vectors;
Conference_Titel :
Sensor Array and Multichannel Signal Processing Workshop (SAM), 2014 IEEE 8th
Conference_Location :
A Coruna
DOI :
10.1109/SAM.2014.6882437
