A New Compressing Ultrasonic Data Algorithm Based on Wavelets
Mounir Hergli, Jamel Baili, Faouzi Bouslama and Kamel Besbes
DOI : 10.3844/ajassp.2005.1615.1618
American Journal of Applied Sciences
Volume 2, Issue 12
In this paper, we propose a novel and effective algorithm for compressing large volumes of data recorded in underwater applications, using a laboratory designed experimental setup. This data represents samples of ultrasonic signals acquired at different geometric positions of a water tank. The proposed algorithm was based on Wavelets and consists of two processing phases including a prefiltering stage using wavelets to eliminate non significant values thus reducing the number of nonzero coefficients and a second processing stage to eliminate the redundancies present in the signal.
© 2005 Mounir Hergli, Jamel Baili, Faouzi Bouslama and Kamel Besbes. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.