Following the Unlimited Sampling strategy to alleviate the omnipresent dynamic range
barrier, we study the problem of recovering a bandlimited signal from point-wise modulo …

Shannon's sampling theorem, at the heart of digital signal processing, is well understood
and explored. However, its practical realization still suffers from a fundamental bottleneck …

The Unlimited Sensing Framework (USF) was recently introduced to overcome the sensor
saturation bottleneck in conventional digital acquisition systems. At its core, the USF …

The Unlimited Sensing Framework (USF) is a digital acquisition protocol that allows for
sampling and reconstruction of high dynamic range signals. By acquiring modulo samples …

Massive multiple-input multiple-output (M-MIMO) architecture is the workhorse of modern
communication systems. Currently, two fundamental bottlenecks, namely, power …

A generalized noise reconstruction approach is proposed for improved direction-of-arrival
(DOA) estimation. First, coarse estimation of the noise component in the received data is …

To mitigate the dynamic range problems that low-bit quantization of conventional analog-to-
digital converters (ADCs) suffer from, we shift our attention to the novel modulo ADCs (Mod …

An alternative to conventional uniform sampling is that of time encoding, which converts
continuous-time signals into streams of trigger times. This gives rise to Event-Driven …

An analog-to-digital converter (ADC)'s dynamic range is critical during sampling analog
signals. A modulo operation prior to sampling can be used to enhance the effective dynamic …

Unlimited Sensing is a sampling protocol that recovers high dynamic range input signals
from their low dynamic range, modulo samples. Bridging the gap between theory and …