Abstract: The classification of human activity using radar has gained considerable attention in recent years because of the radar sensor’s resistance to harsh settings. However, when using machine ...

Abstract: Sparse time-frequency (T-F) representations have been an important research topic for more than several decades. Among them, optimization-based methods (in particular, extensions of basis ...

Autotunable parameters with direct physical interpretation. Easy visualization of all intermediate workflow steps. Collected cluster statistics allow for fine-grained QC and classification of signals.

CATS is a signal processing technique and framework for detecting and denoising sparse signals in the time-frequency domain. Particularly, very useful for processing earthquakes. This work is still in ...