FPGA Implementation of Generalized Hebbian Algorithm for Texture Classification

This paper presents a novel hardware architecture for principal component analysis. The architecture is based on the Generalized Hebbian Algorithm (GHA) because of its simplicity and effectiveness. The architecture is separated into three portions: the weight vector updating unit, the principal comp...

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Bibliographische Detailangaben
Hauptverfasser: Wei-Hao Lee, Wen-Jyi Hwang, Shiow-Jyu Lin
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2012-05-01
Schriftenreihe:Sensors
Schlagworte:
system on programmable chip
reconfigurable computing
principal component analysis
generalized Hebbian algorithm
texture classification
FPGA
Online Zugang:http://www.mdpi.com/1424-8220/12/5/6244
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