Using Excel, Mathcad, or any similar program, create a 256-point
zero-mean random noise sample i(x).
(a) Calculate...
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Using Excel, Mathcad, or any similar program, create a 256-pointzero-mean random noise sample i(x). (a) Calculate mean and variance of i(x). (b) Calculate autocorrelation function C(Δ) for i(x). Describe howyou did this and any assumptions you made. What is the relationshipbetween C(0) and i(x)? (c) Calculate Wiener spectrum W(u) for i(x). What is therelationship between C(0) and W(u)? How would you convert W(u) toMTF(u)?
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aSet the poorlynamedi to rand Then usemean and var on ii randFor autocorrelation let us consider use Conv with flip andfull optionconsider that the xaxis is longer after correlationso x represents the first element is different There was anonlinear one for removing the noise of images which is wiener2in Image
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