Random and coherent noise attenuation by empirical mode decomposition
By M. Bekara, Mirko van der Baan. 2009
244 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/1efb56e8b217bd4fff43867f7ca6b8333fa7204f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
Citations in the corpus
- Seismic Signal Denoising and Decomposition Using Deep Neural Networks (2018, methodology): “…as a wavelet transform [22, 23, 24, 25, 26, 27], Short Time Fourier Transform (STFT) [28], S-transform [29], curvelet transform [30, 31, 32], dreamlet transform [33], contourlet zhuwq@stanford.edu transform [34], shearlet transform [35], empirical mode decomposition [36, 37, 38, 37, 39, 40], etc.”