Research Article Open Access

A New Compressing Ultrasonic Data Algorithm Based on Wavelets

Mounir Hergli, Jamel Baili, Faouzi Bouslama and Kamel Besbes


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.

American Journal of Applied Sciences
Volume 2 No. 12, 2005, 1615-1618


Submitted On: 17 January 2006 Published On: 31 December 2005

How to Cite: Hergli, M., Baili, J., Bouslama, F. & Besbes, K. (2005). A New Compressing Ultrasonic Data Algorithm Based on Wavelets. American Journal of Applied Sciences, 2(12), 1615-1618.

  • 3 Citations



  • Wavelet
  • compression
  • de-noising
  • sonar
  • data acquisition