Title :
Adaptive filtering in the scale domain
Author_Institution :
Dept. of Math. & Inf., Freiburg Univ. of Min. & Technol., Germany
Abstract :
The wavelet transform has been used for a wide variety of applications in signal processing because of its properties. The main fields of application are data compression and time-frequency-analysis. In this article we show how to use the transform for the filtering of geoscience data and especially for relief data. Different approaches for the improvement of the signal noise ratio appear in the literature. On the basis of these threshold methods we have developed a method for an adaptive threshold in the scale domain by using moving windows
Keywords :
adaptive filters; geophysical signal processing; topography (Earth); wavelet transforms; adaptive filtering; adaptive threshold; data compression; geoscience data; moving windows; relief data; scale domain; signal noise ratio; signal processing; threshold methods; time-frequency-analysis; wavelet transform; Adaptive filters; Band pass filters; Continuous wavelet transforms; Filtering; Frequency; Geographic Information Systems; Microstructure; Signal processing; Wavelet coefficients; Wavelet transforms;
Conference_Titel :
Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on
Conference_Location :
Santorini
Print_ISBN :
0-7803-4137-6
DOI :
10.1109/ICDSP.1997.627964
