Results 21 to 30 of about 25,782,438 (282)
Principal Component Analysis in ECG Signal Processing
EURASIP Journal on Advances in Signal Processing, 2007 This paper reviews the current status of principal component analysis in the area of ECG signal processing. The fundamentals of PCA are briefly described and the relationship between PCA and Karhunen-Loève transform is explained.
Roig José Millet +4 more
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Color face recognition using quaternion PCA [PDF]
, 2011 Recently, biometric systems have attracted the attention of both academic and industrial communities. Advances in hardware and software technologies have paved the way to such growing interest.
Jaha, Emad Sami, Lahouari, Ghouti
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Fault Diagnosis of Industrial Process Based on FDKICA-PCA
Journal of Harbin University of Science and Technology, 2018 Because the dynamic characteristics of autocorrelation and lag correlation in production process are neglected in fault diagnosis,Kernel Independent Component AnalysisPrincipal Component Analysis (KICAPCA) is very poor in detecting small and gradual ...
ZHANG Jing +3 more
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Bulletin of Geography. Socio-Economic Series, 2021 The research aims to classify the level of sustainability of 63 provinces in Vietnam upon 24 indicators reflecting three main dimensions of sustainable development by using multivariate classification method for the year 2014–2016.
Truong Van Canh
doaj +1 more source
Sensors, 2014 Principal Component Analysis (PCA) is one of the main methods used for electronic nose pattern recognition. However, poor classification performance is common in classification and recognition when using regular PCA.
Sai Xu +4 more
doaj +1 more source
PCA of PCA: principal component analysis of partial covering absorption in NGC 1365 [PDF]
Monthly Notices of the Royal Astronomical Society, 2014 We analyse 400 ks of XMM-Newton data on the active galactic nucleus NGC 1365 using principal component analysis (PCA) to identify model independent spectral components. We find two significant components and demonstrate that they are qualitatively different from those found in MCG?6-30-15 using the same method.
Parker, M. L. +3 more
openaire +4 more sources
Urban water quality evaluation using multivariate analysis [PDF]
Acta Montanistica Slovaca, 2007 A data set, obtained for the sake of drinking water quality monitoring, was analysed by multivariate methods. Principal component analysis (PCA) reduced the data dimensionality from 18 original physico-chemical and microbiological parameters determined ...
Petr Praus
doaj
Principal component and factor analysis to study variations in the aging lumbar spine [PDF]
, 2015 Human spine is a multifunctional structure of human body consisting of bones, joints, ligaments and muscles which all undergo a process of change with the age. A sudden change in these features either naturally or thorough injury can lead to some serious
Shah, Akeel A. +4 more
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The importance of selecting the optimal number of principal components for fault detection using principal component analysis [PDF]
, 2012 Includes summary.Includes bibliographical references.Fault detection and isolation are the two fundamental building blocks of process monitoring. Accurate and efficient process monitoring increases plant availability and utilization.
Khwambala, Patricia Helen
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Geohazard Mechanics, 2023 In order to predict the coal outburst risk quickly and accurately, a PCA-FA-SVM based coal and gas outburst risk prediction model was designed. Principal component analysis (PCA) was used to pre-process the original data samples, extract the principal ...
Chaojun Fan +3 more
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