Advancements in electronics and miniaturized device fabrication technologies have enabled
simultaneous acquisition of multiple biosignals (MBioSigs), but the area of compression of …

We propose two compressive multiplexers for the efficient sampling of ensembles of
correlated signals. We show that we can acquire correlated ensembles, taking advantage of …

This letter presents a framework for the compressive acquisition of correlated signals. We
propose an implementable sampling architecture for the acquisition of ensembles of …

In this paper, we propose a sampling architecture for the efficient acquisition of multiple
signals lying in a subspace. We show that without the knowledge of the signal subspace, the …

This paper considers efficient sampling of simultaneously sparse and correlated (S $\& $ C)
signals. Such signals arise in various applications in array processing. We propose an …

In this manuscript, the problem of compressive sampling of intercepted sparse signals is
addressed. Assuming that the intercepted signals are sparse in frequency domain, we …

This paper presents a novel sampling scheme for the acquisition of an ensemble of
correlated (lying in an a priori unknown subspace) signals at a sub-Nyquist rate. We …

This paper considers efficient sampling of simultaneously sparse and correlated (S&C)
signals for automotive radar application. We propose an implementable sampling …

This paper presents a random sampling method for gas signal, which is based on the
principle called compressed sensing. This method is suitable for gas sensor network, and it …

In this manuscript, the problem of compressive sampling of intercepted sparse signals is
addressed. Assuming that the intercepted signals are sparse in frequency domain, we …