Abstract
In order to suppress the strong noise, an adaptive morphological wavelet filter algorithm based on the morphological wavelet algorithm is applied in the high precise gravimeter signal processing. The preliminary work of the algorithm is to remove impulse signals of gravimeter signals with morphology filter. Then an adaptive thresh of wavelet transform filter it again. Finally, the reconstructed gravimeter signals without noise is obtained. Results of emulations show that the de-noising performance of the adaptive morphological wavelet filter algorithm are better than those of the classical wavelet filter algorithm.
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