GPCA vs. PCA in Recognition and 3-D Localization of Ultrasound Reflectors
In this paper, a new method of classification and localization of reflectors, using the time-of-flight (TOF) data obtained from ultrasonic transducers, is presented. The method of classification and localization is based on Generalized Principal Component Analysis (GPCA) applied to the TOF values ob...
Main Authors: | Carlos A. Luna, José A. Jiménez, Daniel Pizarro, Cristina Losada, José M. Rodriguez |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2010-05-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/10/5/4825/ |
Similar Items
-
SVD vs PCA: Comparison of Performance in an Imaging Spectrometer
by: Wilma Oblefias, et al.
Published: (2004-12-01) -
Facial recognition system using eigenfaces and PCA
by: Hamid Yazdani, et al.
Published: (2023-03-01) -
Analisis komponen utama (PCA) : peningkatan pelajar berdasarkan markah mata pelajaran /
by: 263534 Noor Syarlina Seeni Mohamed
Published: (2004) -
Analisis komponen utama (PCA) : pemeringkatan pelajar berdasarkan markah mata pelajaran [compact disc] /
by: 263534 Noor Syarlina Seeni Mohamed
Published: (2004) -
Morphological diversity study in horsegram (Macrotyloma uniflorum (Lam.) Verdc) based on Principal Component Analysis (PCA)
by: K.P. Viswanatha, et al.
Published: (2016-09-01)