Title
The design and evaluation of the Simple Self-Similar Sequences Generator
Abstract
This paper describes a new algorithm for the generation of pseudo random numbers with approximate self-similar structure. The Simple Self-Similar Sequences Generator (4SG) elaborates on an intuitive approach to obtain a fast and accurate procedure, capable of reproducing series of points exhibiting the property of persistence and anti-persistence. 4SG has a computational complexity of O(n) and memory requirements of the order of log"2(N), where N is the number of points to be generated. The accuracy of the algorithm is evaluated by means of computer-based simulations, recurring to several Hurst parameter estimators, namely Variance Time (VT) and the Wavelets-based estimator. The Hosking and the Wavelets-based methods for the generation of self-similar series were submitted to the same tests the 4SG was analysed with, providing for a basis for comparison of several performance aspects of the algorithm. Results show that the proposal embodies a good candidate not only for on-demand emulation of arbitrarily long self-similar sequences, but also for fast and efficient online simulations.
Year
DOI
Venue
2009
10.1016/j.ins.2009.08.002
Inf. Sci.
Keywords
Field
DocType
wavelets-based estimator,simple self-similar sequences generator,hurst parameter estimator,long self-similar sequence,reproducing series,self-similar series,approximate self-similar structure,new algorithm,variance time,wavelets-based method,algorithm,self similarity,fractional brownian motion,persistence,hurst parameter,computational complexity
Discrete mathematics,Hurst exponent,Emulation,Fractional Brownian motion,Self-similarity,Mathematics,Pseudorandom number generator,Wavelet,Estimator,Computational complexity theory
Journal
Volume
Issue
ISSN
179
23
0020-0255
Citations 
PageRank 
References 
1
0.36
13
Authors
5
Name
Order
Citations
PageRank
Pedro R. M. Inácio117212.35
Branka Lakic2151.90
MÁRIO M. FREIRE343243.94
Manuela Pereira46611.57
Paulo P. Monteiro515629.69