Projects per year
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.
|Title of host publication||26th European Signal Processing Conference, EUSIPCO 2018|
|Publisher||IEEE - Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||5|
|Publication status||Published - 2018|
|Event||26th European Signal Processing Conference, EUSIPCO 2018 - Rome, Italy|
Duration: 2018 Sep 3 → 2018 Sep 7
|Conference||26th European Signal Processing Conference, EUSIPCO 2018|
|Period||2018/09/03 → 2018/09/07|
Subject classification (UKÄ)
- Signal Processing
FingerprintDive into the research topics of 'Computationally Efficient Estimation of Multi-dimensional Damped Modes using Sparse Wideband Dictionaries'. Together they form a unique fingerprint.
- 1 Finished