Effect of discrete cosine and wavelet transformation based compression on the long range dependence of communication network performance measurements
Kostas Kyriakopoulos
David Parish
2134/3041
https://repository.lboro.ac.uk/articles/online_resource/Effect_of_discrete_cosine_and_wavelet_transformation_based_compression_on_the_long_range_dependence_of_communication_network_performance_measurements/9559871
This paper examines the impact of compression
methods on the long-range dependence of communication
network traffic measurements. The two compression methods
that are examined are based on the Wavelet transformation
and the Discrete Cosine Transformation (DCT). In order to
measure the length of long-range dependence of a stochastic
process, we first have to estimate the Hurst parameter. The
Hurst parameter is estimated by using the rescaled range
statistic (R/S) method. The Hurst values of the examined
signal, before and after the applied compression, are estimated
and compared. If the Hurst value of the compressed signal is
close to the Hurst value of the uncompressed signal, then the
compression algorithm has little interference on the longrange
dependence. The results show that Wavelet
transformation performs better than the DCT.
2007-10-26 08:09:51
untagged
Mechanical Engineering not elsewhere classified