An ultrasound sparse array consists of a sparse distribution of elements over a 2-D aperture.
Such an array is typically characterized by a limited number of elements, which in most …

Medical ultrasound imaging relies heavily on high-quality signal processing to provide
reliable and interpretable image reconstructions. Conventionally, reconstruction algorithms …

In this paper, we address the problem of joint direction-of-arrival (DoA) and range estimation
using frequency diverse coprime array (FDCA). By incorporating the coprime array structure …

Existing sparse array (SA) geometries, such as coprime and nested arrays, can be regarded
as a concatenation of two uniform linear arrays (ULAs). Such arrays lead to a significant …

Strategic subsampling has become a focal point due to its effectiveness in compressing
data, particularly in the Full Matrix Capture (FMC) approach in ultrasonic imaging. This …

Sparse arrays can resolve significantly more scatterers or sources than sensor by utilizing
the co-array-a virtual array structure consisting of pairwise differences or sums of sensor …

Array structures based on the high-order difference co-array concept provide a large number
of degrees of freedom, but are typically difficult to design under multiple optimality criteria. In …

Array robustness and mutual coupling are two important factors affecting the direction
finding performance of various array structures. These properties are not typically analyzed …

This review addresses issues of various drift–diffusion and inhomogeneous advection
problems with and without resetting on comblike structures. Both a Brownian diffusion …

Traditional beamforming of medical ultrasound images relies on sampling rates significantly
higher than the actual Nyquist rate of the received signals. This results in large amounts of …