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

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

Abstract

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.
Original languageEnglish
Title of host publication26th European Signal Processing Conference, EUSIPCO 2018
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages1759-1763
Number of pages5
ISBN (Electronic)978-90-827970-1-5
DOIs
Publication statusPublished - 2018
Event26th European Signal Processing Conference, EUSIPCO 2018 - Rome, Italy
Duration: 2018 Sep 32018 Sep 7

Conference

Conference26th European Signal Processing Conference, EUSIPCO 2018
Country/TerritoryItaly
CityRome
Period2018/09/032018/09/07

Subject classification (UKÄ)

  • Signal Processing

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