Jointly Gaussian Random variables                                                                                              Print this page
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Jointly Gaussian Random Variables

Many practically occuring random variables are modeled as jointly Gaussian random variables. For example, noise samples at different instants in the communication system are modeled as jointly Gaussian random variables.

Two random variables are called jointly Gaussian if their joint probability density function is
                              


The joint pdf is determined by 5 parameters

  • means
  • variances
  • correlation coefficient

We denote the jointly Gaussian random variables and with these parameters as       
                                     

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