Nonuniform sampling occurs in many applications due to imperfect sensors, mismatched
clocks or event-triggered phenomena. Indeed, natural images, biomedical responses and …

In this paper we propose an algorithm based on the fractional Fourier transform to separate
the different components of a signal in the Wigner time-frequency domain. The aim is to …

In this paper, we propose a new discrete-time model which relates uniform samples and K-th
order nonuniform (KONU) samples. Typically, such situations may occur in practice where …

There remains a significant gap between the discrete, finitedimensional compressive
sensing (CS) framework and the problem of acquiring a continuous-time signal. In this talk …

Brain-computer interfaces (BCIs) provide a way to monitor and treat neurological diseases.
An important application of BCIs is the monitoring and treatment of epilepsy, a neurological …

In this paper, we present a new frequency identification technique using the recent
methodology of compressive sensing and discrete prolate spheroidal sequences with …

In this paper, a novel digital modulation technique based on spiking neuron models is
proposed. Thanks to the extremely simple and low-power spiking neuron circuits, this …