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Structured Tensor-Based Algorithm for Delayed Exponential Fitting

Abstract : In this paper, we address the problem of subspace-based estimation of the pole (angular-frequency and damping-factor) of a sum of damped and delayed sinusoids. Usually, this approach is based on the decomposition of structured matrices over a block-Vandermonde basis which verifies the shift-invariance property. In the proposed work, we generalize the matrix approach to the structured tensor case in the context of multilinear algebra. We show on synthetic fast-time varying signal, the advantages of this approach.
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Contributor : Remy Boyer Connect in order to contact the contributor
Submitted on : Wednesday, January 6, 2016 - 3:11:13 PM
Last modification on : Friday, October 22, 2021 - 4:41:32 AM


  • HAL Id : hal-01251637, version 1


Remy Boyer, Karim Abed-Meraim. Structured Tensor-Based Algorithm for Delayed Exponential Fitting. Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, Nov 2004, Pacific Grove, United States. ⟨hal-01251637⟩



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