Simulation of Correlated Intensity SAR Images
SIBGRAPI '99 Proceedings of the XII Brazilian Symposium on Computer Graphics and Image Processing
Simulation of Fluid Stochastic Petri Nets
MASCOTS '00 Proceedings of the 8th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems
On the Construction of a Random Process with Given Power Spectrum and Probability Density Function
MWSCAS '98 Proceedings of the 1998 Midwest Symposium on Systems and Circuits
HiFi: A New Monitoring Architecture for Distributed Systems Management
ICDCS '99 Proceedings of the 19th IEEE International Conference on Distributed Computing Systems
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Generating pseudo random object is one of the key issues in computer simulation of complex systems. Most earlier systems employ independent and identically distributed random variables, while those of real processes often show nontrivial autocorrelation. In this paper a new approach is presented that generates random process for given marginal distribution and autocorrelation function. The proposed approach achieves significant speed-up and accuracy by using truncated distribution instead of order statistics. An experiment displays more than ten times speed-up for reasonable size system. Moreover, the proposed generator is simple and requires less memory.