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A continuous-time signal x(t) is obtained at the output of an ideal lowpass filterwith cutoff frequency We = 1,000'77'. If impulse-train sampling is performed on x(t),which of the following sampling periods would guarantee that x(t) can be recoveredfrom its sampled version using an appropriate lowpass filter?(a) T = 0.5 x 10- 3(b) T = 2 X 1o- 3(c) T = 10-

Question

A continuous-time signal x(t) is obtained at the output of an ideal lowpass filterwith cutoff frequency We = 1,000'77'. If impulse-train sampling is performed on x(t),which of the following sampling periods would guarantee that x(t) can be recoveredfrom its sampled version using an appropriate lowpass filter?(a) T = 0.5 x 10- 3(b) T = 2 X 1o- 3(c) T = 10-

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Solution

The Nyquist-Shannon sampling theorem states that a signal can be perfectly reconstructed if it is sampled at a rate at least twice its highest frequency component. In this case, the cutoff frequency We = 1000π, which is the highest frequency component of the signal x(t).

Therefore, the minimum sampling frequency (fs) required to perfectly reconstruct the signal is 2*We = 2000π.

The sampling frequency is the reciprocal of the sampling period (T), i.e., fs = 1/T.

So, the maximum sampling period that would guarantee that x(t) can be recovered from its sampled version is T = 1/fs = 1/(2000π).

Comparing this with the given options:

(a) T = 0.5 x 10^-3 = 0.0005 (b) T = 2 x 10^-3 = 0.002 (c) T = 10^-3 = 0.001

We can see that all these options are less than 1/(2000π) ≈ 0.000159. Therefore, all these sampling periods would guarantee that x(t) can be recovered from its sampled version using an appropriate lowpass filter.

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