8.2 Discrete-Time Signals 467
− 6 − 4 − 2 0 2 4 6
0
1
2
3
4
n
x^1
[n
]=
(0.8)
n
x^2
[n
]=
1.25
n
− 6 − 4 − 2 0246
n
0
1
2
3
4
− 5 0 5
− 4
− 2
0
2
4
n
y^1
[n
]
− 5 05
− 4
− 2
0
2
4
n
y^2
[n
]
(a)
(b)
FIGURE 8.3
(a) Real exponentialx 1 [n]=0.8n,x 2 [n]=1.25n, and (b) modulated exponentialy 1 [n]=x 1 [n] cos(πn)and
y 2 [n]=x 2 [n] cos(πn).
and zero otherwise. Consider the case whenα=0.9 andω 0 =π/2. Finda, 0 , andTsthat will
permit us to obtainy[n] fromx(t)by sampling. Plotx[n] andy[n] using MATLAB.
Solution
Comparing the sampled continuous-time signalx(nTs)=(e−aTs)ncos(( 0 Ts)n)u[n] withy[n] we
obtain the following two equations:
α=e−aTs
ω 0 = 0 Ts
with three unknowns (a, 0 , andTs), so there is no unique solution. According to the Nyquist
sampling rate condition,
Ts≤
π
max