(c) (10 pts) Repeat part (b), but the sampling period is now T=0.5 second. A CT-impulse training sampling and reconstruction system is shown in the figure. The forms / parameters of individual signals and systems are specified as follows. p(t) ☑ x(t) xp(t) Ideal Low Pass Filter H(jw) xr(t) • • • • The impulse train is represented by p(t) = Σn 8(t - nT), where n is an integer, and T is sampling period. The Fourier transforms of the input signal x(t) and the reconstructed signal xr(t) are respectively: X(jw) and X, (jw) The sampled function is xp (t). The Fourier transform of the sampled function is represented by xp(jw). The frequency response of the ideal low-pass filter is as follows: H(jw) = G, if −wc < w < wc; H(jw) = 0, if |w| ≥ wc. Here G is the DC gain of the low-pass filter, and w, is the cutoff frequency of the low-pass filter. If exact reconstruction without aliasing is impossible, assume the low pass filter possess the following cutoff frequency and gain: w₁ = π/T, G = T. All unit for time is second, and for w is rad/s. Problem 1. (25 pts) Suppose the input signal is given by x(t) = 1 + 4cos(5t) sin(3t). (a) (5 pts) Determine the condition on the sampling period T under which the input signal x(t) can be exactly reconstructed, i.e., x(t) = x(t). (b) (10 pts) If the sampling period is T=0.25 second, determine whether the input signal can be exactly reconstructed. If exact reconstruction is possible, determine the constraints on the parameters of the low pass filter under which one can achieve exact reconstruction. If exact reconstruction is impossible, derive the form of x(t), assuming the cutoff frequency to be wc =π/T and the gain to be G = T.

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(c) (10 pts) Repeat part (b), but the sampling period is now T=0.5 second.
Transcribed Image Text:(c) (10 pts) Repeat part (b), but the sampling period is now T=0.5 second.
A CT-impulse training sampling and reconstruction system is shown in the figure. The forms /
parameters of individual signals and systems are specified as follows.
p(t)
☑
x(t)
xp(t)
Ideal Low Pass Filter
H(jw)
xr(t)
•
•
•
•
The impulse train is represented by p(t) = Σn 8(t - nT), where n is an integer, and T is
sampling period.
The Fourier transforms of the input signal x(t) and the reconstructed signal xr(t) are
respectively: X(jw) and X, (jw)
The sampled function is xp (t). The Fourier transform of the sampled function is
represented by xp(jw).
The frequency response of the ideal low-pass filter is as follows: H(jw) = G, if −wc < w <
wc; H(jw) = 0, if |w| ≥ wc. Here G is the DC gain of the low-pass filter, and w, is the cutoff
frequency of the low-pass filter.
If exact reconstruction without aliasing is impossible, assume the low pass filter possess
the following cutoff frequency and gain: w₁ = π/T, G = T.
All unit for time is second, and for w is rad/s.
Problem 1. (25 pts) Suppose the input signal is given by x(t) = 1 + 4cos(5t) sin(3t).
(a) (5 pts) Determine the condition on the sampling period T under which the input signal x(t)
can be exactly reconstructed, i.e., x(t) = x(t).
(b) (10 pts) If the sampling period is T=0.25 second, determine whether the input signal can
be exactly reconstructed. If exact reconstruction is possible, determine the constraints on
the parameters of the low pass filter under which one can achieve exact reconstruction. If
exact reconstruction is impossible, derive the form of x(t), assuming the cutoff frequency
to be wc =π/T and the gain to be G = T.
Transcribed Image Text:A CT-impulse training sampling and reconstruction system is shown in the figure. The forms / parameters of individual signals and systems are specified as follows. p(t) ☑ x(t) xp(t) Ideal Low Pass Filter H(jw) xr(t) • • • • The impulse train is represented by p(t) = Σn 8(t - nT), where n is an integer, and T is sampling period. The Fourier transforms of the input signal x(t) and the reconstructed signal xr(t) are respectively: X(jw) and X, (jw) The sampled function is xp (t). The Fourier transform of the sampled function is represented by xp(jw). The frequency response of the ideal low-pass filter is as follows: H(jw) = G, if −wc < w < wc; H(jw) = 0, if |w| ≥ wc. Here G is the DC gain of the low-pass filter, and w, is the cutoff frequency of the low-pass filter. If exact reconstruction without aliasing is impossible, assume the low pass filter possess the following cutoff frequency and gain: w₁ = π/T, G = T. All unit for time is second, and for w is rad/s. Problem 1. (25 pts) Suppose the input signal is given by x(t) = 1 + 4cos(5t) sin(3t). (a) (5 pts) Determine the condition on the sampling period T under which the input signal x(t) can be exactly reconstructed, i.e., x(t) = x(t). (b) (10 pts) If the sampling period is T=0.25 second, determine whether the input signal can be exactly reconstructed. If exact reconstruction is possible, determine the constraints on the parameters of the low pass filter under which one can achieve exact reconstruction. If exact reconstruction is impossible, derive the form of x(t), assuming the cutoff frequency to be wc =π/T and the gain to be G = T.
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