Algebraic Methods for Achieving Super-Resolution by Digital Antenna Arrays

Super-resolution fluorescent methods: where next for super-resolution?

Achieving Accurate Image Registration as the Basis for Super-Resolution

Crucial information barely visible to the human eye is often embedded in a series of low-resolution images taken of the same scene. Super-resolution enables the extraction of this information by reconstructing a single image, at a higherresolution than is present in any of the individual images. This is particularly useful in forensic imaging, where the extraction of minute details in an image ...

Bayesian Methods for Image Super-Resolution

We present a novel method of Bayesian image super-resolution in which marginalization is carried out over latent parameters such as geometric and photometric registration and the image pointspread function. Related Bayesian super-resolution approaches marginalize over the high-resolution image, necessitating the use of an unfavourable image prior, whereas our method allows for more realistic im...

Numerical Methods for Coupled Super-Resolution

The process of combining, via mathematical software tools, a set of low resolution images into a single high resolution image is often referred to as super-resolution. Algorithms for super-resolution involve two key steps: registration and reconstruction. Most approaches proposed in the literature decouple these steps, solving each independently. This can be effective if there are very simple, ...

Super Fast Beam Tracking in Phased Antenna Arrays

The directionality of millimeter-wave (mmWave) communications creates a significant challenge in serving fast-moving mobile terminals on, e.g., high-speed vehicles, trains, and UAVs. This challenge is exacerbated in mmWave systems using analog antenna arrays, because of the inherent non-convexity in the control of the phase shifters. In this paper, we develop a recursive beam tracking algorithm...