2008
DOI: 10.1109/tsp.2007.906744
|View full text |Cite
|
Sign up to set email alerts
|

Performance of ESPRIT for Estimating Mixtures of Complex Exponentials Modulated by Polynomials

Abstract: High Resolution (HR) methods are known to provide accurate frequency estimates for discrete spectra. The Polynomial Amplitude Complex Exponentials (PACE) model, also called quasipolynomial model in the literature, was presented as the most general model tractable by HR methods. A subspacebased estimation scheme was recently proposed, derived from the classical ESPRIT algorithm. In this paper, we focus on the performance of this estimator. We first present some asymptotic expansions of the estimated parameters,… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

1
44
0

Year Published

2010
2010
2020
2020

Publication Types

Select...
6
4

Relationship

1
9

Authors

Journals

citations
Cited by 37 publications
(45 citation statements)
references
References 33 publications
1
44
0
Order By: Relevance
“…The filter parameters are estimated using aH igh-Resolution (HR) modal analysis technique [15]. The filter can be estimated using an impact recorded in isolation or within the rolling sound.…”
Section: Overview Of the Algorithmmentioning
confidence: 99%
“…The filter parameters are estimated using aH igh-Resolution (HR) modal analysis technique [15]. The filter can be estimated using an impact recorded in isolation or within the rolling sound.…”
Section: Overview Of the Algorithmmentioning
confidence: 99%
“…As mentioned previously, the main objective of this paper is to use the extended Prony-type scheme to interpolate a function on an equispaced grid. The extended Prony scheme comprises complex exponentials and polynomials [1,2,6]:…”
Section: A Short Overview Of the Prony Methodsmentioning
confidence: 99%
“…Q ≈ R was proved to be an efficient solution [20], thus we choose Q = ⌊T /2⌋ where ⌊.⌋ stands for the lowest integer. We also define the complex-amplitude vector:…”
Section: Estimation Of the Parametersmentioning
confidence: 99%