Singular Value Decomposition in Embedded Systems Based on ARM Cortex-M Architecture

Singular Value Decomposition in Embedded Systems Based on ARM Cortex-M Architecture

Singular value decomposition (SVD) is a central mathematical tool for several emerging applications in embedded systems, such as multiple-input multiple-output (MIMO) systems, data analytics, sparse representation of signals. Since SVD algorithms reduce to solve an eigenvalue problem, that is comput...

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Bibliographic Details
Main Authors: Michele Alessandrini, Giorgio Biagetti, Paolo Crippa, Laura Falaschetti, Lorenzo Manoni, Claudio Turchetti
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Electronics
Subjects:
singular value decomposition (SVD)
matrix decomposition
embedded systems
microcontrollers
ARM Cortex-M
Kalman
Online Access:https://www.mdpi.com/2079-9292/10/1/34

Internet

https://www.mdpi.com/2079-9292/10/1/34

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