Sparse Time-Frequency Distribution Calculation with an Adaptive Thresholding Algorithm
- Autor(en)
- Ivan Volaric, Victor Sucic, Götz Bokelmann
- Abstrakt
Time-frequency distributions (TFD) are powerful tools for the analysis of non-stationary signals; however they are heavily under-used since most of the TFD calculation methods introduce the unwanted artifacts, so called cross-terms. A recently investigated approach of the TFD cross-terms removal enforces the sparsity constraint to the resulting TFD, ultimately leading to a high resolution sparse TFD with heavily suppressed cross-terms. In this paper, we apply a sparse reconstruction algorithm, which combines the fast intersection of the confidence intervals (FICI) rule and the two step iterative shrinkage/thresholding algorithm (TwIST), denoted as the FICI-TwIST algorithm, to modeled and real-life teleseismic signals. The obtained results have been compared, in terms of the resulting TFD concentration and the algorithm execution time, to the state-of-the-art sparse reconstruction algorithms.
- Organisation(en)
- Institut für Meteorologie und Geophysik
- Externe Organisation(en)
- University of Rijeka
- Seiten
- 341-346
- Anzahl der Seiten
- 6
- DOI
- https://doi.org/DOI:10.1109/ISPA.2019.8868576
- Publikationsdatum
- 09-2019
- ÖFOS 2012
- 105122 Seismik
- Schlagwörter
- ASJC Scopus Sachgebiete
- Signal Processing, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Computer Graphics and Computer-Aided Design
- Link zum Portal
- https://ucris.univie.ac.at/portal/de/publications/sparse-timefrequency-distribution-calculation-with-an-adaptive-thresholding-algorithm(7a737a4c-1e36-418b-8a88-4e848a1d67cd).html