Recent results in one-bit sampling provide a framework for a relatively low-cost, low-power
sampling, at a high rate by employing time-varying sampling threshold sequences. Another …

This work introduces a novel class of channel estimators tailored for coarse quantization
systems. The proposed estimators are founded on conditionally Gaussian latent generative …

One-bit synthetic aperture radar (SAR) imaging technology has garnered significant
attention due to its ability to substantially reduce system complexity and data storage …

Due to the limited resources available on small synthetic aperture radar (SAR) platforms,
such as unmanned aerial vehicles (UAVs), one-bit SAR imaging has emerged as a …

Unrolled deep neural networks have attracted significant attention for their success in
various practical applications. In this paper, we explore an application of deep unrolling in …

One-bit sampling has emerged as a promising technique in multiple-input multiple-output
(MIMO) radar systems due to its ability to significantly reduce data volume and processing …

In massive multiple-input multiple-output (MIMO) array systems, the balance between
complexity and operational performance has motivated the use of 1-bit analogue-to-digital …

This paper introduces a unified detection method utilizing second-order statistics to address
the inherent challenges posed by one-bit quantization. We propose a rigorous framework for …