Wavelet compression techniques for computer network measurements
online resourceposted on 2007-11-29, 15:01 authored by Kostas KyriakopoulosKostas Kyriakopoulos, David Parish
Wavelet transform is a recent signal analysis tool that is already been successfully used in image, video and speech compression applications. This paper looks at the Wavelet transform as a method of compressing computer network measurements produced from high-speed networks. Such networks produce a large amount of information over a long period of time, requiring compression for archiving. An important aspect of the compression is to maintain the quality in important features of signals. In this paper two known wavelet coefficient threshold selection techniques are examined and utilized separately along with an efficient method for storing wavelet coefficients. Experimental results are obtained to compare the behaviour of the two threshold selection schemes on delay and data rate signals, by using the mean square error (MSE) statistic, PSNR and the file size of the compressed output.
- Mechanical, Electrical and Manufacturing Engineering
CitationKYRIAKOPOULOS, K. and PARISH, D.J., 2007. Wavelet compression techniques for computer network measurements. IN: Sablatnig, R. and Scherzer, O. (eds.). Proceedings of the 4th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications (SPPRA 07), Innsbruck, Austria, 14-16 February 2007. Anaheim, Calif : Acta Press
Publisher© Acta Press
NotesThis is a conference paper