In this paper, we address the study of the QRD methods and compare their efficiency in terms of computational complexity and error rate performance. Moreover, a ...
This paper addresses the study of the QRD methods and compares their efficiency in terms of computational complexity and error rate performance and pays ...
In this paper, we address the study of the QRD methods and compare their efficiency in terms of computational complexity and error rate performance. Moreover, a ...
In this paper, we address the study of the QRD methods and compare their efficiency in terms of computational complexity and error rate performance. Moreover, a ...
Herein, the main feature of the QRD is to transform the non-causal system into a causal system, where consequently efficient detection algorithms based on the ...
The QR Decomposition (QRD) of communication channel matrices is a fundamental prerequisite to several detection schemes in Multiple-Input Multiple-Output ...
Aug 24, 2023 · Sébastien Aubert, Fabienne Nouvel. Parallel QR Decomposition in LTE-A System. IEEE SPAWC 2010, Jun 2010, Marrakech, Morocco. ⟨hal-00506959⟩ ...
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QR decomposition is a computationally intensive linear algebra operation that factors a matrix A into the product of a unitary matrix Q and upper triangular ...
Aug 24, 2023 · Sébastien Aubert, Fabienne Nouvel. Parallel QR Decomposition in LTE-A System. IEEE SPAWC 2010, Jun 2010, Marrakech, Morocco. ⟨hal-00506959⟩ ...
Dec 13, 2023 · Which algorithm does Julia uses for QR decomposition? Additionally, parallelizing decomposition methods is non-trivial.
Missing: LTE- | Show results with:LTE-