Assignment 3 signal and systems, Assignments of Signals and Systems

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EED-201 (Signals and Systems): Assignment 3
1. A continuous-time signal x(t) is obtained at the output of an ideal low-pass filter with cutoff
frequency ωc= 1000π. If impulse-train sampling is performed on x(t), which of the following
sampling periods would guarantee that x(t) can be recovered from its sampled version using
an appropriate low-pass filter?
i) T= 0.5×103ii) T= 2 ×103iii) T= 104.
2. Let x(t) be a signal with Nyquist rate ωo. Determine the Nyquist rate for each of the
following signals:
i) x(t) + x(t1) ii) dx(t)
dt iii) x2(t) iv) x(t) cos(ω0t).
3. Determine the Fourier transform for πω < π in the case of each of the following periodic
signals:
i) sin π
3n+π
4ii) 2 + cos π
6n+π
8.
4. An LTI system with impulse response h1[n] = 1
3nu[n] is connected in parallel with another
causal LTI system with impulse response h2[n]. The resulting parallel interconnection has
the frequency response:
He =12+5e
127e+ej2ω.
Determine h2[n].
5. Compute the Fourier transform of each of the following signals: (use properties where needed)
i) x[n] = 1
3|n|u[n2] ii) x[n] = 1
2|n|cos π
8(n1)iii) x[n] = sin(πn/5)
πn cos 7π
2n
iv) x(t) = 1 + cos πt, |t| 1
0,|t|>1v) x(t) = P+
n=−∞ e−|t2n|vi) d
dt {u(2t)+u(t
2)}.
6. Find the signal x(t) or x[n] corresponding to the following Fourier transforms:
i) Xe = cos2ω+ sin23ω(discrete)
ii) Xe =P
k=−∞(1)kδωπ
2k(discrete)
iii) X() = 2 sin[3(ω2π)]
(ω2π)(continuous)
iv) X() = 2[δ(ω1) δ(ω+ 1)] + 3[δ(ω2π) + δ(ω+ 2π)] (continuous)
v) X() = (sin2(3ω))cos ω
ω2(continuous).
7. The input and the output of a stable and causal LTI system are related by the differential
equation
d2y(t)
dt2+ 6dy(t)
dt + 8y(t)=2x(t)
i) Find the impulse response of the system.
ii) What is the response of this system if x(t) = te2tu(t)?
8. Impulse-train sampling of x[n] is used to obtain:
g[n] = P
k=−∞ x[n]δ[nkN ].
If X(e ) = 0 for 3π/7 |ω| π, determine the largest value for the sampling interval N
which ensures that no aliasing takes place while sampling x[n].
1

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EED-201 (Signals and Systems): Assignment 3

  1. A continuous-time signal x(t) is obtained at the output of an ideal low-pass filter with cutoff frequency ωc = 1000π. If impulse-train sampling is performed on x(t), which of the following sampling periods would guarantee that x(t) can be recovered from its sampled version using an appropriate low-pass filter? i) T = 0. 5 × 10 −^3 ii) T = 2 × 10 −^3 iii) T = 10−^4.
  2. Let x(t) be a signal with Nyquist rate ωo. Determine the Nyquist rate for each of the following signals: i) x(t) + x(t − 1) ii) dx dt(t ) iii) x^2 (t) iv) x(t) cos(ω 0 t).
  3. Determine the Fourier transform for −π ≤ ω < π in the case of each of the following periodic signals: i) sin

( (^) π 3 n^ +^

π 4

ii) 2 + cos

( (^) π 6 n^ +^

π 8

  1. An LTI system with impulse response h 1 [n] =

3

)n u[n] is connected in parallel with another causal LTI system with impulse response h 2 [n]. The resulting parallel interconnection has the frequency response:

H

ejω^

= −12+5e

−jω 12 − 7 e−jω^ +e−j^2 ω^.

Determine h 2 [n].

  1. Compute the Fourier transform of each of the following signals: (use properties where needed)

i) x[n] =

3

)|n| u[−n−2] ii) x[n] =

2

)|n| cos

( (^) π 8 (n^ −^ 1)

iii) x[n] = sin( πnπn/ 5)cos

( (^7) π 2 n

iv) x(t) = 1 + cos πt, |t| ≤ 1 0 , |t| > 1 v) x(t) =

n=−∞ e

−|t− 2 n| (^) vi) d dt {u(−^2 −^ t) +^ u(t^ − 2)}.

  1. Find the signal x(t) or x[n] corresponding to the following Fourier transforms: i) X

ejω^

= cos^2 ω + sin^2 3 ω (discrete) ii) X

ejω^

k=−∞(−1) kδ (ω − π 2 k

(discrete) iii) X(jω) = 2 sin3((ω−ω 2 −π)^2 π) iv) X(jω) = 2[δ(ω − 1) − δ(ω + 1)] + 3[δ(ω − 2 π) + δ(ω + 2π)] (continuous) v) X(jω) = (sin^2 (3ω)) cos^ ω ω^2 (continuous).

  1. The input and the output of a stable and causal LTI system are related by the differential equation d^2 y(t) dt^2 + 6^

dy(t) dt + 8y(t) = 2x(t) i) Find the impulse response of the system. ii) What is the response of this system if x(t) = te−^2 tu(t)?

  1. Impulse-train sampling of x[n] is used to obtain: g[n] =

k=−∞ x[n]δ[n^ −^ kN^ ]. If X(ejω^ ) = 0 for 3π/ 7 ≤ |ω| ≤ π, determine the largest value for the sampling interval N which ensures that no aliasing takes place while sampling x[n].