The signal acquisition, especially in geophysics, produces a huge amount of data. This obviously depends by the instrument used, the sampling rate employed and the precision required. Communication infrastructures play an important role in realtime use of the signal acquired, but they are not always able to meet the needs in terms of transmission speed and energy consumption, so they make impossible using telemetry. In such cases, data compression can help us and, especially if it is made ad hoc, can solve the problem. The algorithm below described uses the relationship between low and high frequency signal components to reduce the amount of data, highlighting the useful information.