(a) Use Tables of discrete-time Fourier transform to find the frequency spectra of the signals listed subsequently.
Table Discrete-Time Fourier Transforms
f[n]
F(Ω)
1. δ[n]
1
2. 1
3. u[n]
4. an u[n]; |a|<1
5. nan u[n]; |a|<1
6. a–nu[–n – 1]; |a|<1
7.
8. cos[Ω0n]
9. sin[Ω0n]
10. x[n] periodic with period N
Table Frequency Response Data for Example 12.4
Ω (rad/sample)
ω = Ω (rad/s)
|H(Ω)|
∠H(Ω)
0
0.0
1
0°
0.976
97.6
0.7071
–55.9°
104.7
0.66
–60°
157.1
0.333
–90°
209.4
0.0
–120°
2.80
280.0
2.948
–160.4°
π
314.2
0.333
–180°
Table Properties of the Discrete-TimeFourier Transform
Signal
Transform
x[n]
x[n]
X(Ω) = X(Ω + 2π)
a1x1[n] + a2x2[n]
a1X1(Ω) = a2X2(Ω)
x[n – n0]
X(Ω – Ω0)
x[n] real
x[–n]
X(–Ω)
x[n]*y[n]
X(Ω)Y(Ω)
x[n]y[n]
nx[n]
(i) f1(t) = 8 cos(2πt) + 4 sin(4πt), sampled with Ts = 0.1 s.
(ii) f2[n] = 5 cos [0.5πn]a[n].
(iii) f3(t)= 2 sin(3πt) + 3 cos(5πt), T = 0.1 s.
(iv) f4[n] = 3 cos [0.6πn].
(b) Plot the magnitude and phase frequency spectra of each of the signals listed over the frequency range | ω | ≦ 2 ωs
We need at least 10 more requests to produce the solution.
0 / 10 have requested this problem solution
The more requests, the faster the answer.