Inverse problems in image processing are typically cast as optimization tasks, consisting of
data fidelity and stabilizing regularization terms. A recent regularization strategy of great …

Identifying and visualizing vasculature within organs and tumors has major implications in
managing cardiovascular diseases and cancer. Contrast-enhanced ultrasound scans detect …

Frequency agile radar (FAR) is known to have excellent electronic counter-countermeasures
performance and the potential to realize spectrum sharing in dense electromagnetic …

Limitations on bandwidth and power consumption impose strict bounds on data rates of
diagnostic imaging systems. Consequently, the design of suitable (ie task-and data-aware) …

Sparse sensor arrays have attracted considerable attention in various fields such as radar,
array processing, ultrasound imaging and communications. In the context of correlation …

We present a sublinear time algorithm for computing a near optimal low-rank approximation
to any positive semidefinite (PSD) Toeplitz matrix T∈ ℝ d× d, given noisy access to its …

Measurement of multiple sinusoidal signals (MSSs) is significant in instrumentation and
measurement, radar, communications, and many other electric systems. Measurement …

This paper is committed to the joint angular-frequency distribution (JAFD) estimation for
incoherently distributed wideband (IDW) sources by using spatial-temporal sparse sampling …

Sparse arrays are of great interest since they can identify O (N 2) uncorrelated sources with
N physical sensors. This stems from their large difference coarray, defined as the differences …

We study the sample complexity of estimating the covariance matrix T of a distribution over d-
dimensional vectors, under the assumption that T is Toeplitz. This assumption arises in …