Clutter suppression using wavelet shrinkage
Victor C. Chen · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1995
In this paper we propose a newly developed wavelet shrinkage approach that achieves superior performance in clutter suppression by using discrete wavelet transforms. We utilize the relationship of the magnitudes of the wavelet coefficients and the smoothness of the signal function to address the clutter suppression problem with different thresholding methods. We conclude that in heavily cluttered scenario the wavelet shringkage can provide an excellent preformance for clutter suppression.