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 …

Conventionalliterature on array signal processing (ASP) is based on the “capture first,
process later” philosophy and to this end, signal processing algorithms are typically …

Bandpass signals are an important sub-class of bandlimited signals that naturally arise in a
number of application areas but their high-frequency content poses an acquisition …

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 …

We consider the problem of recovering a continuoustime bandlimited signal from the
discrete-time signal, obtained from sampling it every T s seconds and reducing the result …

Two important attributes of analog to digital converters (ADCs) are its sampling rate and
dynamic range. The sampling rate should be greater than or equal to the Nyquist rate for …

Analog to digital converters (ADCs) act as a bridge between the analog and digital domains.
Two important attributes of any ADC are sampling rate and its dynamic range. For …