Classical sampling is based on acquiring signal amplitudes at specific points in time, with
the minimal sampling rate dictated by the degrees of freedom in the signal. The samplers in …

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 …

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

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 …

Key parameters of analog‐to‐digital converters (ADCs) are their sampling rate and dynamic
range. Power consumption and cost of an ADC are directly proportional to the sampling rate; …

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 …

Analog-to-digital converters (ADCs) are key components of digital signal processing.
Classical samplers in this framework are controlled by a global clock. At high sampling rates …

Key parameters of analog-to-digital converters (ADCs) are their sampling rate and dynamic
range. Power consumption and cost of an ADC are directly proportional to the sampling rate; …

We consider sampling and reconstruction of finite-rate-of-innovation (FRI) signals such as a
train of pulses, where the pulses have varying degrees of asymmetry. We address the …

A fundamental challenge in non-destructive evaluation using ultrasound is to accurately
estimate the thicknesses of different layers or cracks present in the object under …