Open AccessWAVELET DENOISING APPLICATION ON CTD (CONDUCTIVITY TEMPERATURE DEPTH) SIGNALS TO IMPROVE THE QUALITY OF IDENTIFIED OVERTURN REGION
Author(s) -
Yuli Naulita
Publication year - 2014
Publication title -
e-journal ilmu dan teknologi kelautan tropis
Language(s) - English
Resource type - Journals
ISSN - 2085-6695
DOI - 10.28930/jitkt.v6i1.8645
Subject(s) - ctd , wavelet , filter (signal processing) , noise reduction , turbulence , geology , meteorology , oceanography , computer science , artificial intelligence , geography , computer vision
Turbulent mixing process can be evaluated from density inversions in CTD profiles, that may reveal the overturning eddies. The quality of overturn regions are then determined by the quality of CTD signals. The study removed noise on CTD signals without losing small perturbation which commonly occurred by traditional filter. By applying wavelet denoising in pre-processing data of Thorpe method, more Thorpe displacements indicated overturn regions, were able to detect especially in small density gradients. Therefore, the identified overturn region using the Thorpe method can be applied to a larger region of density gradients. Keywoods: turbulent mixing, overturn, Thorpe method, Thorpe displacement, wavelet denoising.