Circle TRUE or FALSE: The spectrum of a discrete (sampled) signal will be discrete. Circle TRUE or FALSE: If a signal’s spectrum is discrete and periodic (in frequency), then the original signal was also discrete and periodic (in time). How many times faster than the DFT would you expect an FFT algorithm to execute when the number of samples being transformed is N = 2^8? Circle TRUE or FALSE: Recovering the original signal spectrum from sampled spectrum does not require a perfect ideal lowpass reconstruction filter if sampling was done at the Nyquist rate.

32 1 - Circle TRUE or FALSE: The spectrum of a discrete (sampled) signal will be discrete. Circle TRUE or FALSE: If a signal's spectrum is discrete and periodic (in frequency), then the original signal was also discrete and periodic (in time). How many times faster than the DFT would you expect an FFT algorithm to execute when the number of samples being transformed is N = 2^8? Circle TRUE or FALSE: Recovering the original signal spectrum from sampled spectrum does not require a perfect ideal lowpass reconstruction filter if sampling was done at the Nyquist rate.

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images - Circle TRUE or FALSE: The spectrum of a discrete (sampled) signal will be discrete. Circle TRUE or FALSE: If a signal's spectrum is discrete and periodic (in frequency), then the original signal was also discrete and periodic (in time). How many times faster than the DFT would you expect an FFT algorithm to execute when the number of samples being transformed is N = 2^8? Circle TRUE or FALSE: Recovering the original signal spectrum from sampled spectrum does not require a perfect ideal lowpass reconstruction filter if sampling was done at the Nyquist rate.

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