We study recovery of amplitudes and nodes of a finite impulse train from noisy frequency
samples. This problem is known as super-resolution under sparsity constraints and has …

Traditionally, regularly spaced antenna arrays follow the spatial Nyquist criterion to
guarantee an unambiguous analysis. We present a novel technique that makes use of two …

We present a new convex formulation for the problem of recovering lines in degraded
images. Following the recent paradigm of superresolution, we formulate a dedicated atomic …

Atomic norm methods have recently been proposed for spectral super-resolution with
flexibility in dealing with missing data and miscellaneous noises. A notorious drawback of …

Reflector antennas often exhibit frequency ripples in key performance metrics, including
aperture efficiency and antenna noise temperature. These ripples stem from corresponding …

This paper presents a method for characterising the ripple observed in the antenna noise
temperature of reflector systems as a function of operating frequency. The ripple, which is …

The design optimization of mechanisms is promising as it results in more energy-efficient
machines without compromising performance. However, machine builders do not apply …

This paper presents an exponential analysis technique for synthesizing a sparse non-
uniform linear array using equidistant samples of the array factor of a dense uniform linear …

Decomposition is integral to most image processing algorithms and often required in texture
analysis. We present a new approach using a recent 2-dimensional exponential analysis …

We investigate the recovery of nodes and amplitudes from noisy frequency samples in spike
train signals, also known as the super-resolution (SR) problem. When the node separation …