Title :
Quality measures for random variate generation
Author :
Young, David J. ; Beaulieu, Norman C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Queen´´s Univ., Kingston, Ont., Canada
Abstract :
The lack of a well-defined and meaningful measure of the quality of computer generated correlated random variates complicates the design and comparison of generation algorithms for communications system simulation applications. This paper presents quantitative quality measures for computer-generated random variates having a multivariate Gaussian distribution or having a distribution that derives from the multivariate Gaussian distribution. These measures are, in particular, useful for digital communication system simulation applications. A theoretical basis for the definition of the measures is given and it is shown that the measures also possess useful intuitive interpretations. Examples of the use of these quality measures are provided
Keywords :
Gaussian distribution; correlation methods; digital communication; digital simulation; random processes; telecommunication computing; approximate probability density function; computer generated correlated random variates; digital communication system simulation; generation algorithms; multivariate Gaussian distribution; quality measures; quantitative quality measures; Algorithm design and analysis; Autocorrelation; Communication systems; Computational modeling; Computer simulation; Density functional theory; Distribution functions; Gaussian distribution; Inspection; Marine vehicles;
Conference_Titel :
Communications, 1998. ICC 98. Conference Record. 1998 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-4788-9
DOI :
10.1109/ICC.1998.683066
