A Reconfigurable Hardware Architecture for Principal Component Analysis

Principal component analysis (PCA) is one of the widely used techniques for dimensionality reduction in multivariate statistical analysis. This article presents an efficient architecture design and implementation of the PCA algorithm on a field-programmable gate array (FPGA). The designed reconfigur...

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Veröffentlicht in:	Circuits, systems, and signal processing systems, and signal processing, 2019-05, Vol.38 (5), p.2097-2113
Hauptverfasser:	Korat, Uday A., Alimohammad, Amirhossein
Format:	Artikel
Sprache:	eng
Schlagworte:	Circuits and Systems CMOS Computer architecture Computer simulation Electrical Engineering Electronics and Microelectronics Engineering Field programmable gate arrays Floating point arithmetic Hardware description languages Instrumentation Mathematical models Microprocessors Multivariate statistical analysis Principal components analysis Reconfigurable hardware Signal,Image and Speech Processing Statistical analysis
Online-Zugang:	Volltext
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