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x[n]= cos(0.03n) for N=2000 samples Add 40dB of zeros mean white Gaussian noise to x[n] (hint: use awgn() mathlab function). then plot x[n] and x[n]with

x[n]= cos(0.03n) for N=2000 samples

Add 40dB of zeros mean white Gaussian noise to x[n] (hint: use awgn() mathlab function).

then plot x[n] and x[n]with the noise also need code matlab plz

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