Adaptive filtering in the scale domain

Author

Seegraef, C.

Author_Institution

Dept. of Math. & Inf., Freiburg Univ. of Min. & Technol., Germany

Volume

1

fYear

1997

fDate

2-4 Jul 1997

Firstpage

53

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on

Conference_Location

Santorini

Print_ISBN

0-7803-4137-6

Type

conf

DOI

10.1109/ICDSP.1997.627964

Filename

627964