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Probability density function of digital filter

 
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Mar27-08, 12:51 PM   #1
 

Probability density function of digital filter


given that x has an exponential density function ie p(x) = exp (-x) and x(n) & x(m) are statistically independent.

Now y(n) = x(n-1)+x(n)

what is the pdf (probability density function) of y(n)
 
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Mar27-08, 02:53 PM   #2
 
Quote by purplebird View Post
given that x has an exponential density function ie p(x) = exp (-x) and x(n) & x(m) are statistically independent.

Now y(n) = x(n-1)+x(n)

what is the pdf (probability density function) of y(n)
The pdf of a sum of two independent variables can be obtained by the convolution of their respective pdf's.
 
Mar29-08, 12:25 PM   #3
ssd
 
Y(n) will be distributed as gamma(2,1) if X(n) has the pdf exp[-x(n)].
 
Mar31-08, 09:00 AM   #4
 

Probability density function of digital filter


I made a mistake while typing up the question :

y(n) = [x(n-1) + x(n)]^2

so

y(n) = x(n)^2 + x(n-1)^2

So is the pdf of y(n) convolution of exp(-x(n)^2) and exp(-x(n-1)^2)

Thanks
 
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