Title: Common pole estimation in multi-channel exponential data modeling
Authors: Papy, Jean-Michel ×
De Lathauwer, Lieven
Van Huffel, Sabine #
Issue Date: Apr-2006
Publisher: Elsevier Science Pub. Co.
Series Title: Signal Processing vol:86 issue:4 pages:846-858
Abstract: In this paper we develop a technique for detecting and retrieving the common harmonics in a multi-channel setup. The different (complex) signals are arranged in a set of Hankel matrices. First, we compute the singular value decomposition (SVD) of these matrices in order to denoise and normalize the relevant subspaces. Then a second SVD is applied to detect and select the common subspace. The poles of the harmonics are computed from the common subspace using the total least squares (TLS) technique. This method is very flexible, robust and outperforms existing subspace-based methods. Moreover, it can be applied to an arbitrary number of channels. (c) 2005 Elsevier B.V. All rights reserved.
ISSN: 0165-1684
Publication status: published
KU Leuven publication type: IT
Appears in Collections:ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics
Faculty of Science, Campus Kulak Kortrijk
× corresponding author
# (joint) last author

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