This repository supplements the paper "Fast Single-Snapshot Harmonic Recovery with 2D Sparse Arrays using BCCB Matrices". We implement computationally efficient versions of the ISTA, FISTA, and ADMM ...
Abstract: Sparse Matrix-Matrix Multiplication (SpMM) is a widely used algorithm in Machine Learning, particularly in the increasingly popular Graph Neural Networks (GNNs). SpMM is an essential ...
Abstract: In this letter, we propose a new sparse linear array (SLA), termed delay coprime array (DCA), and correspondingly develop a low-complexity direction of arrival (DOA) estimation algorithm. In ...
Currently many operations in wp.sparse modify the end matrix topology, using CUB-backed reductions that require temporary storage allocations under the hood. As a result, then cannot be captured in ...
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An image of the core region of Messier 87, home to a supermassive black hole, processed from a sparse array of radio telescopes known as the Event Horizon Telescope. (Image credit: Event Horizon ...
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