Computationally Efficient Estimation of Multi-dimensional Damped Modes using Sparse Wideband Dictionaries

Martin Jälmby, Johan Swärd, Filip Elvander, Andreas Jakobsson

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference article in proceedingsScientificvertaisarvioitu

Abstrakti

Estimating the parameters of non-uniformly sampled multi-dimensional damped modes is computationally cumbersome, especially if the model order of the signal is not assumed to be known a priori. In this work, we examine the possibility of using the recently introduced wideband dictionary framework to formulate a computationally efficient estimator that iteratively refines the estimates of the candidate frequency and damping coefficients for each component. The proposed wideband dictionary allows for the use of a coarse initial grid without increasing the risk of not identifying closely spaced components, resulting in a substantial reduction in computational complexity. The performance of the proposed method is illustrated using both simulated and real spectroscopy data, clearly showing the improved performance as compared to previous techniques.
AlkuperäiskieliEnglanti
Otsikko2018 26th European Signal Processing Conference (EUSIPCO)
KustantajaIEEE
Sivut1745-1749
Sivumäärä5
ISBN (elektroninen)978-9-0827-9701-5
ISBN (painettu)978-1-5386-3736-4
DOI - pysyväislinkit
TilaJulkaistu - 2018
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaEuropean Signal Processing Conference - Rome, Italia
Kesto: 3 syysk. 20187 syysk. 2018
Konferenssinumero: 26

Julkaisusarja

NimiEuropean Signal Processing Conference
ISSN (painettu)2219-5491
ISSN (elektroninen)2076-1465

Conference

ConferenceEuropean Signal Processing Conference
LyhennettäEUSIPCO
Maa/AlueItalia
KaupunkiRome
Ajanjakso03/09/201807/09/2018

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