Simulating Non-Realizable Processes

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José Cândido Silveira Santos Filho
Michel Daoud Yacoub
Gustavo Fraidenraich

Abstract

Consider an output process defined as the sum of M ergodic identically distributed input random processes. Moreover, assume that some output statistics of interest can be found as explicit functions of M with no constraints for M real. Then, extending the investigation of those statistics for non-integer values of M may be desired, mainly if the output process is in effect an idealized approximate model of a realistic random phenomenon. Within this context and for simulation purposes, this work presents a generic, efficient method for generating a sample sequence matching the output statistics for a given noninteger M. To the best of the authors’ knowledge, no solutions to the problem addressed here exist yet.

Article Details

How to Cite
Cândido Silveira Santos Filho, J., Daoud Yacoub, M., & Fraidenraich, G. (2015). Simulating Non-Realizable Processes. Journal of Communication and Information Systems, 20(3). https://doi.org/10.14209/jcis.2005.26
Section
Regular Papers