Find the frequency resolution using this rectangular window. Express your answer in Hertz. Suppose it is...
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Find the frequency resolution using this rectangular window. Express your answer in Hertz. Suppose it is observed that the DFT (k = 0,1,511) of the sampled signal has very strong peaks at k=51 and k = 461. Find the frequency of the major signal component of the continuous-time signal r(t) (assume sampling is above the Nyquist rate). Suppose instead that r(t) = sin(272650t). Keep sampling rate fs = 1000 Hz and assume M = 205 data samples are again recorded. As above, a 512-point DFT is computed. At what DFT indices, k, do strong peaks appear in the DFT? Create the time samples, r[n], for a sine function at the frequency determined in part (b); use amplitude 1 and zero phase. Compute and plot the spectrum from f = -fs/2 to f/2. (using the Matlab fftshift command). In addition to scaling the horizontal axis to display frequency in Hertz, scale the vertical axis by T. Find the frequency resolution using this rectangular window. Express your answer in Hertz. Suppose it is observed that the DFT (k = 0,1,511) of the sampled signal has very strong peaks at k=51 and k = 461. Find the frequency of the major signal component of the continuous-time signal r(t) (assume sampling is above the Nyquist rate). Suppose instead that r(t) = sin(272650t). Keep sampling rate fs = 1000 Hz and assume M = 205 data samples are again recorded. As above, a 512-point DFT is computed. At what DFT indices, k, do strong peaks appear in the DFT? Create the time samples, r[n], for a sine function at the frequency determined in part (b); use amplitude 1 and zero phase. Compute and plot the spectrum from f = -fs/2 to f/2. (using the Matlab fftshift command). In addition to scaling the horizontal axis to display frequency in Hertz, scale the vertical axis by T.
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