Anomaly Detection in Multichannel Data Using Sparse Representation in RADWT Frames

Anomaly Detection in Multichannel Data Using Sparse Representation in RADWT Frames

We introduce a new methodology for anomaly detection (AD) in multichannel fast oscillating signals based on nonparametric penalized regression. Assuming the signals share similar shapes and characteristics, the estimation procedures are based on the use of the Rational-Dilation Wavelet Transform (RA...

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Bibliographic Details
Main Authors: Daniela De Canditiis, Italia De Feis
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Mathematics
Subjects:
anomaly detection
RADWT
variable selection
multichannel
thresholding
Online Access:https://www.mdpi.com/2227-7390/9/11/1288

Internet

https://www.mdpi.com/2227-7390/9/11/1288

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