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Skip to Search Results- 2Time-frequency analysis
- 1Compressive sensing
- 1Denoising
- 1Empirical mode decomposition
- 1Group sparsity
- 1Noise attenuation
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Fall 2014
Empirical mode decomposition (EMD) is a powerful signal analysis technique to analyze non-stationary signal systems, like seismic data. Through the sifting process, EMD splits the non-stationary features of the input signal into individual decomposition modes, which are called intrinsic mode...
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Fall 2012
Seismic events can be characterized by its origin time, location and moment tensor. Fast estimations of these source parameters are important in areas of geophysics like earthquake seismology, and the monitoring of seismic activity produced by volcanoes, mining operations and hydraulic injections...