Advertisement
Published in:
2016 | OriginalPaper | Chapter
Time-Frequency Analysis of GPR Signal for Cavities Detection Application
Authors : Houda Harkat, Saad Bennani Dosse, Abdellatif Slimani
Published in: Proceedings of the Mediterranean Conference on Information & Communication Technologies 2015
Publisher: Springer International Publishing
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Abstract
In a dispersive medium, GPR signal is classified as a nonstationary signal, and which is widely attenuated, as so, some reflected echoes become none visible neither in the time or the frequency representation of the signal. In fact, we are aimed to calculate the travel time inside a cavity, i.e. the time between two transition that are highly attenuated, in order to identify the nature of the dielectric inside this cavity, which become impossible due to the attenuation phenomena. In this outlook, we proposed to analysis this signal using a time-frequency representation. The continuous wavelet transform is the alternative approach to the Fourier transform due to the fact that the spectrogram is limited in the resolution by the width of the window. Besides the Stockwell transform, in addition to the Hilbert Huang transform are widely used for the analyzed of the electrical, biomedical (ECGs), GPR signals, and seismic sections.