Digital Signal Processing of Geotechnical Data
Publication: Journal of Engineering Mechanics
Volume 112, Issue 1
Abstract
The present‐day electronic technology has made availability of a large volume of monitoring data for large projects a reality. However, such data automatically contain random noise which only when eliminated provide a reliable set of data depicting the site conditions. This paper presents a method, based on digital signal processing principles, to optimize elimination of noise from such data. The method is based on simple applications of digital signal processing techniques. The method of application is explained through an actual case study and concludes with possible application of such methods in geotechnical and structural monitoring.
Get full access to this article
View all available purchase options and get full access to this article.
References
1.
Bendat, J. S., and Piersol, A. G., Random Data‐Analysis and Measurement Procedures, Wiley‐Interscience, New York, NY, 1971.
2.
Bergland, G. D., “A Guided Tour of the Fast Fourier Transform,” Digital Signal Processing, L. R. Rabiner and C. M. Rader, Eds., IEEE Press, New York, NY, 1972, pp. 228–239.
3.
Brigham, E. O., The Fast Fourier Transform, Prentice‐Hall, NJ, 1974.
4.
Champeney, D. C., Fourier Transforms and Their Physical Applications, Academic Press, London, England, 1973.
5.
Enochson, L. D., and Otnes, R. K., Programming and Analysis for Digital Time Series Data, The Shock and Vibration Information Center, United States Department of Defense, Washington, DC, 1968.
6.
Hamming, R. W., Digital Filters, Prentice‐Hall, NJ, 1977.
7.
Koopmans, L. H., The Spectral Analysis of Time Series, Academic Press, New York, NY, 1974.
8.
Oppenheim, A. V., and Schaffer, R. W., Digital Signal Processing, Prentice‐Hall, NJ, 1975.
9.
Singleton, R. C., “An Algorithm for Computing the Mixed Radix Fast Fourier Transform,” Digital Signal Processing, L. R. Rabiner and C. M. Rader, Eds., IEEE Press, New York, NY, 1972, pp. 294–304.
Information & Authors
Information
Published In
Copyright
Copyright © 1986 ASCE.
History
Published online: Jan 1, 1986
Published in print: Jan 1986
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.