Sparse Time-Frequency Distribution Calculation with an Adaptive Thresholding Algorithm
- Author(s)
- Ivan Volaric, Victor Sucic, Götz Bokelmann
- Abstract
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(s)
- Department of Meteorology and Geophysics
- External organisation(s)
- University of Rijeka
- Pages
- 341-346
- No. of pages
- 6
- DOI
- https://doi.org/DOI:10.1109/ISPA.2019.8868576
- Publication date
- 09-2019
- Austrian Fields of Science 2012
- 105122 Seismic
- Keywords
- ASJC Scopus subject areas
- Signal Processing, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Computer Graphics and Computer-Aided Design
- Portal url
- https://ucris.univie.ac.at/portal/en/publications/sparse-timefrequency-distribution-calculation-with-an-adaptive-thresholding-algorithm(7a737a4c-1e36-418b-8a88-4e848a1d67cd).html