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

Martin Jälmby, Johan Swärd, Filip Elvander, Andreas Jakobsson

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceedingPeer review

Sammanfattning

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.
Originalspråkengelska
Titel på värdpublikation26th European Signal Processing Conference, EUSIPCO 2018
FörlagIEEE - Institute of Electrical and Electronics Engineers Inc.
Sidor1759-1763
Antal sidor5
ISBN (elektroniskt)978-90-827970-1-5
DOI
StatusPublished - 2018
Evenemang26th European Signal Processing Conference, EUSIPCO 2018 - Rome, Italien
Varaktighet: 2018 sep. 32018 sep. 7

Konferens

Konferens26th European Signal Processing Conference, EUSIPCO 2018
Land/TerritoriumItalien
OrtRome
Period2018/09/032018/09/07

Ämnesklassifikation (UKÄ)

  • Signalbehandling

Fingeravtryck

Utforska forskningsämnen för ”Computationally Efficient Estimation of Multi-dimensional Damped Modes using Sparse Wideband Dictionaries”. Tillsammans bildar de ett unikt fingeravtryck.

Citera det här