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(a) Using Matlab, find and plot the magnitude of the DTFT of 10 samples of x(n) for n=[0:1:9] of x(n) = cos(2*pi*f1*n) + cos(2*pi*f2*n) for f1=0.22 and f2=0.24 and pad zeros to get 100 samples.
Let the frequency axis run from 0 to 2 in pi units. Use 500 frequency points to plot the DTFT.
(b) Using Matlab, overlay on the plot the magnitude of the DFT coefficients Xk vs frequency in pi units for a 100 point transform of this set of samples.
(c) Find the DFT frequency resolution. On the plot, indicate where f1 and f2 are on the frequency axis.
(d) Now use 100 sample points of the waveform with no zero padding in the DFT magnitude plot. Annotate this plot and indicate the frequencies f1 and f2 present in the wave form.
(e) Title the plots and label the axes appropriately. Submit the plots along with the source code.
Variable names: Variable names are an example of the identifier names. The rules for identifier names are as shown below: (A)The name should begin with a letter of the alph
(a) Using Matlab, find and plot the magnitude of the DTFT of 10 samples of x(n) for n=[0:1:9] of x(n) = cos(2*pi*f1*n) + cos(2*pi*f2*n) for f1=0.22 and f2=0.24 and pad zeros to ge
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