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102 Chapter 3 THE DISCRETE-TIME FOURIER ANALYSIS<br />

1. T s =0.1 ms<br />

2. T s =1ms<br />

3. T s =0.01 sec<br />

P3.20 We implement the following analog filter using a discrete filter.<br />

x a (t) −→ A/D x(n)<br />

−→ h(n) y(n)<br />

−→ D/A −→ y a (t)<br />

The sampling rate in the A/D and D/A is 8000 sam/sec, and the impulse response is<br />

h(n) =(−0.9) n u(n).<br />

1. What is the digital frequency in x(n) ifx a (t) =10cos (10, 000πt)?<br />

2. Determine the steady-state output y a (t) ifx a (t) =10cos (10, 000πt).<br />

3. Determine the steady-state output y a (t) ifx a (t) =5sin(8, 000πt).<br />

4. Find two other analog signals x a (t), with different analog frequencies, that will give<br />

the same steady-state output y a(t) when x a(t) =10cos(10, 000πt) isapplied.<br />

5. To prevent aliasing, a prefilter would be required to process x a (t) before it passes to<br />

the A/D converter. What type of filter should be used, and what should be the largest<br />

cutoff frequency that would work for the given configuration?<br />

P3.21 Consider an analog signal x a (t) =cos(20πt), 0 ≤ t ≤ 1. It is sampled at T s =0.01, 0.05,<br />

and 0.1 sec intervals to obtain x(n).<br />

1. For each T s plot x(n).<br />

2. Reconstruct the analog signal y a (t) from the samples x(n) using the sinc interpolation<br />

(use ∆t =0.001) and determine the frequency in y a (t) from your plot. (Ignore the end<br />

effects.)<br />

3. Reconstruct the analog signal y a (t) from the samples x(n) using the cubic spline<br />

interpolation, and determine the frequency in y a (t) from your plot. (Again, ignore the<br />

end effects.)<br />

4. Comment on your results.<br />

P3.22 Consider the analog signal x a (t) =cos (20πt + θ) , 0 ≤ t ≤ 1. It is sampled at T s =0.05<br />

sec intervals to obtain x(n). Let θ =0,π/6, π/4, π/3, π/2. For each of these θ values,<br />

perform the following.<br />

1. Plot x a (t) and superimpose x(n) onitusing the plot(n,x,’o’) function.<br />

2. Reconstruct the analog signal y a (t) from the samples x(n) using the sinc interpolation<br />

(Use ∆t =0.001) and superimpose x(n) onit.<br />

3. Reconstruct the analog signal y a (t) from the samples x(n) using the cubic spline<br />

interpolation and superimpose x(n) onit.<br />

4. You should observe that the resultant reconstruction in each case has the correct<br />

frequency but a different amplitude. Explain this observation. Comment on the role of<br />

phase of x a (t) onthe sampling and reconstruction of signals.<br />

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