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Write by matlab program code to do following by (wiener filtering):
1- Generate noise. It will have gausian distrubtion normal distribution with variane of 0.5.
V=0.5 randn(1,500)
2- Generate a desired signal as cosine function d=cos(0.1pn).
3- Noisy signal. x=d+v
4- Generate auto correlation matrix having order of 10 by 10. RT (xcorr)
5- Obtain cross correlation in vector Pdx. (xcorr)
6- Obtain optimum wiener filter coefficients. w= R^-1 *Pdx.
7- Compute output of winear filter. caps_d=filter(w,1, x)
8- Computer error e[n]=d[n]-cups-d.
Your task is to create forms and reports using the skills learned in the lab. For now, we will not worry about authentication and security.
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offer valid reasons why the pseudocode is now more efficient.
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