Authors:
Juan José González de la Rosa
1
;
Isidro Lloret Galiana
1
;
Juan Manuel Górriz Sáez
1
and
Carlos García Puntonet
2
Affiliations:
1
University of Cádiz, Engineering School of Algeciras, Spain
;
2
University of Granada, Spain
Keyword(s):
Acoustic emission, cumulant, high order statistics (HOS), ICA, termite detection, vibratory signal.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Vision, Visualization and Computer Graphics
;
Feature Extraction
;
Features Extraction
;
Image and Video Analysis
;
Informatics in Control, Automation and Robotics
;
Signal Processing, Sensors, Systems Modeling and Control
;
Time and Frequency Response
;
Time Series and System Modeling
;
Time-Frequency Analysis
Abstract:
In this paper an extended robust independent components analysis algorithm based on cumulants is applied to identify vibrational alarm signals generated by soldier termites in southern Spain (reticulitermes grassei), measured using low cost equipment. A seismic accelerometer is employed to strongly characterize these acoustic emissions. To support the proposed technique, vibrational signals from a low cost microphone have been mixed with known signals, and the mixtures processed by ICA. The experimental results confirm the validity of the proposed method, which has been taken as the basis for the development of a low cost, noninvasive, termite detection system.