In a recent paper [1], we introduced the concept of “Unlimited Sampling”. This unique
approach circumvents the clip** or saturation problem in conventional analog-to-digital …

Optical coherence tomography (OCT), owing to its non-invasive nature, has demonstrated
tremendous potential in clinical practice and has become a prevalent diagnostic method …

Millimeter-wave imaging systems are increasingly used in human screening at checkpoints,
in linear or multi-input multi-output (MIMO) array modes. Rather than pressing intrinsic …

Standard approaches for ellipse fitting are based on the minimization of algebraic or
geometric distance between the given data and a template ellipse. When the data are noisy …

The image reconstruction for Fourier-domain optical coherence tomography (FD-OCT) could
be achieved by iterative methods, which offer a more accurate estimation than the traditional …

Exact reconstruction of finite-rate-of-innovation signals can be achieved by employing
customized sampling kernels that satisfy certain frequency-domain properties. We impose …

Spectral-estimation OCT (SE-OCT) is a computational method to enhance the axial
resolution beyond the traditional bandwidth limit. However, it has not yet been used widely …

We address the problem of estimating target locations that are sparse in a pulse-Doppler
radar's unambiguous region by sampling the received signal at sub-Nyquist rates. The …

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 …

Optical coherence tomography (OCT) is a powerful imaging technique that is capable of
imaging cross-sectional structures with micrometer resolution. After combining with phase …