Abstract: Localizing more sources than sensors with a sparse linear array (SLA) has long relied on minimizing a distance between two covariance matrices and recent algorithms often utilize ...
A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences (CAS), has developed an innovative machine learning framework ...
CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...
In this interview from March 6, 2004, actor and playwright Harvey Fierstein talks to director Michael Kantor backstage at the Neil Simone Theatre during the Broadway production of "Hairspray," for ...
When Democratic lawmakers left Texas to try to prevent the Republican-led Legislature from redrawing the state's congressional districts, it marked the latest episode in a long national history of ...
Abstract: Wideband source signals occur in many applications of array signal processing. With the use of time-delay orthogonal representations of the incident uncorrelated wideband signals, the array ...
I've already talked about how Sinners is now one of my favorite movies of all time. And I'm sure I'm not alone, as the movie was all anybody could talk about for a while. Which is yet another thing ...
ABSTRACT: Variational methods are highly valuable computational tools for solving high-dimensional quantum systems. In this paper, we explore the effectiveness of three variational methods: density ...
Department of Chemistry, New York University, New York, New York 10003, United States Department of Chemistry, New York University, New York, New York 10003, United States Simons Center for ...
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