Projekt per år
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.
Originalspråk | engelska |
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Titel på värdpublikation | 26th European Signal Processing Conference, EUSIPCO 2018 |
Förlag | IEEE - Institute of Electrical and Electronics Engineers Inc. |
Sidor | 1759-1763 |
Antal sidor | 5 |
ISBN (elektroniskt) | 978-90-827970-1-5 |
DOI | |
Status | Published - 2018 |
Evenemang | 26th European Signal Processing Conference, EUSIPCO 2018 - Rome, Italien Varaktighet: 2018 sep. 3 → 2018 sep. 7 |
Konferens
Konferens | 26th European Signal Processing Conference, EUSIPCO 2018 |
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Land/Territorium | Italien |
Ort | Rome |
Period | 2018/09/03 → 2018/09/07 |
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.Projekt
- 1 Avslutade
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eSSENCE@LU 4:2 - Efficient data acquisition and analyses for modern multidimensional spectroscopy"
Pullerits, T. (PI), Jakobsson, A. (PI), Karki, K. J. (Forskare) & Wang, Z. (Forskare)
2017/07/01 → 2020/06/30
Projekt: Forskning