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Original scientific paper

A Method for the Generation of Correlated Random Processes

Maurizio Andronico ; Istituto di Informatica e Telecomunicazioni, University of Catania, Italy
Salvatore Casale ; Istituto di Informatica e Telecomunicazioni, University of Catania, Italy
Aurelio La Corte ; Istituto di Informatica e Telecomunicazioni, University of Catania, Italy

Fulltext: english, pdf (4 MB) pages 9-18 downloads: 64* cite
APA 6th Edition
Andronico, M., Casale, S. & La Corte, A. (1995). A Method for the Generation of Correlated Random Processes. Journal of computing and information technology, 3 (1), 9-18. Retrieved from https://hrcak.srce.hr/150436
MLA 8th Edition
Andronico, Maurizio, et al. "A Method for the Generation of Correlated Random Processes." Journal of computing and information technology, vol. 3, no. 1, 1995, pp. 9-18. https://hrcak.srce.hr/150436. Accessed 11 Apr. 2021.
Chicago 17th Edition
Andronico, Maurizio, Salvatore Casale and Aurelio La Corte. "A Method for the Generation of Correlated Random Processes." Journal of computing and information technology 3, no. 1 (1995): 9-18. https://hrcak.srce.hr/150436
Harvard
Andronico, M., Casale, S., and La Corte, A. (1995). 'A Method for the Generation of Correlated Random Processes', Journal of computing and information technology, 3(1), pp. 9-18. Available at: https://hrcak.srce.hr/150436 (Accessed 11 April 2021)
Vancouver
Andronico M, Casale S, La Corte A. A Method for the Generation of Correlated Random Processes. Journal of computing and information technology [Internet]. 1995 [cited 2021 April 11];3(1):9-18. Available from: https://hrcak.srce.hr/150436
IEEE
M. Andronico, S. Casale and A. La Corte, "A Method for the Generation of Correlated Random Processes", Journal of computing and information technology, vol.3, no. 1, pp. 9-18, 1995. [Online]. Available: https://hrcak.srce.hr/150436. [Accessed: 11 April 2021]

Abstracts
In this paper the authors propose a method which will allow the generation of random discrete variables with a given probability distribution and autocorrelation sequence. The method is applicable in cases where, once experimental measurements have established the statistical characteristics of a stationary random process, an algorithm is to be implemented to generate random discrete variables with the same statistical properties in terms of amplitude distribution and correlation among the values. The method proposed allows a correlated random process to be generated by combining two ergodic independent statistical uncorrelated random processes. A case study is given to apply the method proposed to modelling of variable bit rate video sources by simulation.

Keywords
random processes; simulation; modelling

Hrčak ID: 150436

URI
https://hrcak.srce.hr/150436

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