Currently, we have a couple of transformer that returns sparse matrix. With the work on array-api in the ecosystem, it could actually be annoying because matrix are not array and might not be ...
Abstract: Sparse arrays offer economic advantages by reducing the number of antennas. However, directly utilizing the covariance matrix of sparse array signals for wideband beamforming may lead to the ...
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Abstract: This research paper introduces a cutting-edge integration of a Z-source high-gain impedance network with a Sparse Matrix Converter (SMC) for Wind Energy Conversion systems (WECs). This ...
A new technical paper titled “Signal processing architecture for a trustworthy 77GHz MIMO Radar” was published by researchers at Fraunhofer FHR, Ruhr University Bochum, and Wavesense Dresden GmbH.
Presenting an algorithm that solves linear systems with sparse coefficient matrices asymptotically faster than matrix multiplication for any ω > 2. Our algorithm can be viewed as an efficient, ...
I am working on a problem whose solution needs to run QR decomposition of matrices. The matrices involved in the problem are huge but sparse, which end up occupying a lot of RAM. Because currently ...
ABSTRACT: This paper proposes an adaptive sparsity-based direct position determination (DPD) appoach to locate multiple targets in the case of time-varying channels. The novel feature of this method ...
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