Abstract: For sparse array design, degrees of freedom (DOFs) and mutual coupling (MC) are two essential metrics to be taken into account, and high DOFs and low MC are favorable to generating better ...
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 ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback