Abstract: Deep learning shows great promise in enhancing ultrasound acquisitions using sparse arrays. We previously introduced a deep learning-based in-painting method to estimate missing raw radio ...

Abstract: The sparse array could reduce the cost of physical antennas. However, implementing wideband beamforming directly based on the covariance matrix of the received signals from the sparse array ...

In this paper, a novel hybrid algorithm on beam pattern synthesis of sparse arrays is proposed, which aims at minimizing the peak sidelobe level (PSLL). Sparse arrays can provide higher spatial ...

It has become clear that the ability to sparsely edit a subset of array elements in an attribute override is an important feature for several workflows. Some examples are: Modifying a subset of mesh ...

R-MXAS is a revolutionary aerospace architecture for realizing a synthetic aperture imaging radiometer (SAIR) in a manner affording unprecedented sparsity in terms of number of antenna elements. As ...

Thinning a 16×16 λ/2 C-band planar array down to the fewest active elements that still approximate its full-aperture radiation pattern in azimuth and elevation. 256 elements (16×16) · λ/2 spacing · ...