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Autocorrelation Aided Random Forest Classifier-Based Bearing Fault Detection Framework
IEEE Sensors Journal, 2020Rolling bearing defects in induction motors are usually diagnosed using vibration signal analysis. For accurate detection of rolling bearing defects, appropriate feature extraction from vibration signals is necessary, failure of which may lead to ...
Sayanjit Singha Roy +2 more
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Geographic Information Science & Technology Body of Knowledge, 2005
Spatial autocorrelation (SA)—the correlation among georeferenced observations arising from their relative locations in geographic space—has a history dating to the mid-1900s, although conceptual awareness of it dates back to the early 1900s. But SA is everywhere.
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Spatial autocorrelation (SA)—the correlation among georeferenced observations arising from their relative locations in geographic space—has a history dating to the mid-1900s, although conceptual awareness of it dates back to the early 1900s. But SA is everywhere.
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Respiration and Heartbeat Rates Measurement Based on Autocorrelation Using IR-UWB Radar
IEEE Transactions on Circuits and Systems - II - Express Briefs, 2018Respiration rate (RR) and heartbeat rate (HR) are important physiological parameters for a person. Impulse radio ultra-wideband (IR-UWB) is a promising technology for non-contact sensing and monitoring.
Hongming Shen +7 more
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Autocorrelation in Spaces [PDF]
Environment and Planning A: Economy and Space, 1979 Autocorrelation provides a means of characterising spatial structure, yet different kinds of structure are revealed in different spaces. The choice of weights when calculating an autocorrelation statistic is discussed. An examination of autocorrelation in transformed spaces is suggested and illustrated empirically by use of correlograms for German ...
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Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data
NeuroImage, 2001M. Woolrich +3 more
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