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Abstract: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.