Compressive sensing is a new field in signal processing and applied mathematics. It allows one to simultaneously sample and compress signals which are known to have a sparse representation in a known basis or dictionary ...

Cell movement and intercellular signaling occur simultaneously during the development of tissues, but little is known about how movement affects signaling. Previous theoretical studies have shown that faster moving cells ...

RESUMEN: Este trabajo trata de la aplicación de técnicas basadas en Espectros de Orden Superior (EOS) a procesamiento digital de señales, poniendo énfasis en el Biespectro. Dos aproximaciones principales se emplean para ...

In sensing applications, sensors cannot always mea-sure the latent quantity of interest at the required resolution, some-times they can only acquire a blurred version of it due the sensor’stransfer function. To recover ...

Electrical excitability and signaling, frequently associated with rapid responses to environmental stimuli, have been documented in both animals and higher plants. The presence of electrical potentials (EPs), such as action ...

Compressed Sensing (CS) comprises a set of relatively new techniques that exploit the underlying structure of data sets allowing their reconstruction from compressed versions or incomplete information. CS reconstruction ...