What is it about?
In order to recover weak signal that is submerged in heavy background noise, a weak signal recovery method based on three-dimensional curvelet transform is presented in this paper. In the 3D curvelet field, the correlation of the curve coefficient was used to distinguish between the effective signal and random noise.
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Why is it important?
The recovery of weak signal is useful in a wide range of fields, including mechanical engineering , communications , seismic , and biomedicine , where the useful signals are often hidden in heavy background noise.
Perspectives
There is more scope to increase the speed of the recovery of weak signal. Our future work will keep studying with GPU cluster to increase the speed of our method.
chang wen
Read the Original
This page is a summary of: Fast recovery of weak signal based on three-dimensional curvelet transform and generalized cross validation , IET Signal Processing, August 2017, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/iet-spr.2016.0492.
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