Answer / vibhor bhardwaj

Calculation of a (theoretical) autocorrelation function for
a normal random discrete white noise filtered by a
stationary filter with impulse response given by function
h(j), j >0 can be done by using convolution.

Its autocorrelation function is a Kronecker delta.

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Answer / sanyasirao allanki

an impulse function

Answer / chandra shekhar godiwal

White noise means when signal is distorted due to noise then it will not reconstruct.

It is s^2 * d[n], where s is the standard deviation of the
noise (and thus s^2 is its variance) and d[n] is the
discrete impulse (or Dirac), consisting of a 1 at n=0 and 0
at all the other time instants.
Calculation of a (theoretical) autocorrelation function for
a normal random discrete white noise filtered by a
stationary filter with impulse response given by function
h(j), j >0 can be done by using convolution.

Its autocorrelation function is a Kronecker delta.

Answer / sachita nand

delta function

Answer / j. augusto

It is s^2 * d[n], where s is the standard deviation of the
noise (and thus s^2 is its variance) and d[n] is the
discrete impulse (or Dirac), consisting of a 1 at n=0 and 0
at all the other time instants.

Answer / yajnesh

when a signal is transmitted it might be mixed with noise so
to check weather it can be recovered back by eleminating the
noise . to do this we go for auto correlation of the signal
if the ampiltude at the zero is max in the auto correlated
sequence then the signal can be recovered .
auto correlation is nothing but a process of comparision.

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