A New Compressing Ultrasonic Data Algorithm Based on Wavelets
Mounir Hergli, Jamel Baili, Faouzi Bouslama, Kamel Besbes · American Journal of Applied Sciences · 2005
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.