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According to the principle of wavelet transform��we study the applications and effects of wavelet threshold de-noising method and potential field separation method in real gravity data�� The experiments of the multi- ple rectangular models show that: selecting appropriate wavelet bases and wavelet parameters contribute to extract useful information in gravity anomaly and the following application of the measured gravity data�� The results of the measured Bouguer gravity data processing show that: the de-noising method based on wavelet transform and poten- tial field method can efficiently remove random noise��distinguish the local anomalies and regional anomalies and improve the accuracy of the data processing and interpretation��