In this paper we analyze a nonlocal reaction-diffusion model which arises from the modeling of competition of phytoplankton species with incomplete mixing in a water column. The no...
We present two simple methods for recovering sparse signals from a series of noisy observations. The theory of compressed sensing (CS) requires solving a convex constrained minimiz...
Compressive sensing and processing of radar waveforms enables high-resolution tracking while using low sampling rates and inexpensive processing. Compressive processing, however, ...
In this paper we describe a deconvolution technique for obtaining an approximation of the neuronal signal from an observed hemodynamic response in fMRI data. Our approach, based o...
The general goal of the paper is to show the normative/deontic nature of conventions. Conventions are traditionally defined as regularity of behavior based on expectations evolved...