This set of Signals & Systems Multiple Choice Questions & Answers (MCQs) focuses on “Fourier Analysis”.

1. The CTFT of a continuous time signal x(t) = e^{-A|t|}, A>0 is _________

a) \(\frac{2A}{ω^2} \)

b) \(\frac{A}{A^2+ω^2} \)

c) \(\frac{2A}{A^2+ω^2} \)

d) \(\frac{A}{ω^2} \)

View Answer

Explanation: CTFT {x (t)} = X (jω) = \(\int_{-∞}^∞ x(t) e^{-jωt} \,dt\)

= \(\int_{-∞}^∞ e^{-A|t|} e^{-jωt} \,dt\)

= \(\int_{-∞}^0 e^{-A(-t)} e^{-jωt} \,dt + \int_0^∞ e^{-At} e^{-jωt} \,dt\)

= \(\int_{-∞}^0 e^{At} e^{-jωt} \,dt + \int_0^∞ e^{-At} e^{-jωt} \,dt\)

= \(\int_{-∞}^0 e^{(A-jω)t} \,dt + ∫_0^∞ e^{-(A+jω)t} \,dt\)

= \([\frac{1}{A-jω} e^{(A-jω)t}]_{-∞}^0 + [\frac{1}{-(A+jω)} e^{-(A+jω)t}]_0^∞\)

= \([\frac{1}{A-jω} + \frac{1}{A+jω} = \frac{2A}{A^2+ω^2}]\)

∴ x(jω) = \(\frac{2A}{A^2+ω^2} \).

2. A signal x(t) has the Fourier transform X(jω) having the following facts:

F^{-1}{(1+jω) X(jω)} = Ae^{-2t} u(t) and \(\int_{-∞}^∞ |X(jω)|^2 \,dω = 2π\)

The signal x (t) is ___________

a) \(\sqrt{3}\) (e^{-t} – e^{-2t})u(t)

b) \(\sqrt{12}\) (e^{-t} – e^{-2t})u(t)

c) \(\sqrt{3}\) (e^{-2t} – e^{-t})u(t)

d) \(\sqrt{12}\) (e^{-2t} – e^{-t})u(t)

View Answer

Explanation: F

^{-1}{(1+jω) X(jω)} = Ae

^{-2t}u(t)

Or, (1+jω) X (jω) = \(\frac{A}{2+jω} \)

Or, X (jω) = \(\frac{A}{(1+jω)(2+jω)} \)

= \(A (\frac{1}{1+jω} – (\frac{1}{2+jω}) \)

Or, x (t) = Ae

^{-t}u (t) – Ae

^{-2t}u (t)

Given that, \(∫_{-∞}^∞ |X(jω)|^2 \,dω\) = 2π

Or, \(∫_{-∞}^∞ |x(t)|^2 \,dt\) = 1

∴ \(∫_{-∞}^∞ [A^2 e^{-2t} – 2A^2 e^{-3t} + A^2 e^{-4t}]\) u(t)dt = 1

Or, \(∫_{-∞}^∞ [A^2 e^{-2t} – 2A^2 e^{-3t} + A^2 e^{-4t}]\) dt = 1

Or, \(\frac{A^2}{12}\)=1

Or, A = \(\sqrt{12}\)

We chose \(\sqrt{12}\) and not –\(\sqrt{12}\) since x (t) is non-negative.

3. The system characterized by the differential equation \(\frac{d^2 y(t)}{t^2} – \frac{dy}{dt} – 2y(t) = x(t)\) is _____________

a) Linear and stable

b) Linear and unstable

c) Nonlinear and unstable

d) Nonlinear and stable

View Answer

Explanation: \(\frac{d^2 y(t)}{t^2} – \frac{dy}{dt} – 2y(t) = x(t)\)

Now, x (t) –> h (t) so, the system is linear.

Again, taking Laplace Transform with zero initial conditions, we get, s

^{2}Y(s) – s Y(s) – 2Y(s) = X(s)

Or, H(s) = \(\frac{Y(s)}{X(s)} = \frac{1}{s^2-s-2} = \frac{1}{(s-2)(s+1)} \)

Since pole is at s = +2, the system is unstable.

4. An LTI system with impulse response h_{1} [n] = -2(\(\frac{1}{4})^n\) u[n] is connected in parallel with another causal LTI system with impulse response h_{2} [n]. The resulting interconnection has frequency response H (e^{jω}) = \(\frac{-12+5e^{-jω}}{12+7e^{-jω}+e^{-j2ω}}\). Then h_{2}[n] is ___________

a) (\(\frac{1}{3}\))^{n} u[n-1]

b) (\(\frac{1}{3}\))^{n} u[n]

c) (\(\frac{1}{4}\))^{n} u[n]

d) (\(\frac{1}{4}\))^{n} u[n-1]

View Answer

Explanation: H (e

^{jω}) = H

_{1}(e

^{jω}) + H

_{2}(e

^{jω})

Or, \(\frac{-12+5e^{-jω}}{12+7e^{-jω}+e^{-j2ω}} = \frac{1}{1-\frac{1}{3} e^{-jω}} + \frac{(-2)}{1-\frac{1}{4} e^{-jω}}\)

∴ H

_{2}(e

^{jω}) = \(\frac{1}{1-\frac{1}{3} e^{-jω}}\)

So, h

_{2}[n] = (\(\frac{1}{3}\))

^{n}u[n].

5. A pulse of unit amplitude and width a, is applied to a series RL circuit having R = 1 Ω, L = 1H. The current I(t) at t = ∞ is __________

a) 0

b) Infinite

c) 2 A

d) 1 A

View Answer

Explanation: Since, the circuit has a resistance; the current will eventually decrease and ultimately die down.

Now, I (t) = \((\frac{1}{R})[u (t) (1-e^{\frac{-Rt}{L}}) – u (t-a) (1-e^{\frac{-R(t-a)}{L}})]\)

But R = 1Ω and L = 1H

∴ I(t) = [u(t)(1-e

^{-t}) – u(t-a)(1-e

^{-(t-a)})]

This also leads to I (∞) = 0.

6. The rms value of a rectangular wave of period T, having value +V for a duration, T_{1}(<T) and –V for the duration, T-T_{1} = T_{2} is __________

a) V

b) \(\sqrt{V}\)

c) \(\frac{\sqrt{V}}{2}\)

d) 0

View Answer

Explanation: \(\sqrt{V^2}\)n: Mean square value = \(\frac{1}{T}[∫_0^{T_1} V^2 \,dt + ∫_1^T V^2 \,dt] \)

Where, T

_{1}+ T

_{2}= T

= \(\frac{1}{T}\)[V

^{2}T

_{1}+ V

^{2}T – V

^{2}T

_{1}] = V

^{2}

∴ RMS = V.

7. X (e^{jω}) = \(\frac{(b-a) e^{jω}}{e^{-j2ω}-(a+b) e^{jω} + ab)}\), |b|<1<|a|

The value of x[n] is __________

a) b^{n} u [n] + a^{n} u [n-1]

b) b^{n} u [n] – a^{n} u [-n-1]

c) b^{n} u [n] + a^{n} u [-n-1]

d) b^{n} u [n] – a^{n} u [n+1]

View Answer

Explanation: X (e

^{jω}) = \(\frac{(b-a) e^{jω}}{e^{-j2ω}-(a+b) e^{jω} + ab)}\)

= \(\frac{(b-a) e^{jω}}{1-(a+b) e^{-jω}} + ab \,e^{-j2ω})\)

= \(\frac{1}{1-be^{-jω}} + \frac{(-1)}{1-ae^{-jω}}\)

∴ x [n] = b

^{n}u [n] + a

^{n}u [-n-1].

8. Frequency and time period are ____________

a) Proportional to each other

b) Inverse of each other

c) Same

d) equal

View Answer

Explanation: Frequency is the number of occurrences of a repeating event per unit time.

Time period, denoted by T, is the duration of one cycle and is equal to the reciprocal of the frequency. Mathematically we can write T = 1/f.

9. The Fourier series for the function f (x) = sin^{2}x is ______________

a) 0.5 + 0.5 sin 2x

b) 0.5 – 0.5 sin 2x

c) 0.5 + 0.5 cos 2x

d) 0.5 – 0.5 cos 2x

View Answer

Explanation: f(x) = sin

^{2}x

Now, f(x) = sin

^{2}x = \(\frac{1-cos2x}{2}\)

= 0.5 – 0.5 cos 2x.

10. The continuous time system described by the equation y(t) = x(t^{2}) comes under the category of ____________

a) Causal, linear and time varying

b) Causal, non-linear and time varying

c) Non-causal, non-linear and time invariant

d) Non-causal, linear and time variant

View Answer

Explanation: Let y (t) = x (t

^{2}). We can infer that y (t) depends on x (t

^{2}) i.e. on future values of input if t>1. Hence, the system is non-casual.

Again, α x

_{1}(t) → y

_{1}(t) = α x

_{1}(t

^{2}) and β x

_{2}(t) –> y

_{2}(t) = β x

_{2}(t

^{2})

Therefore α x

_{1}(t) + β x

_{2}(t) –> y (t) = α x

_{1}(t

^{2}) + β x

_{2}(t

^{2}) = y

_{1}(t) + y

_{2}(t), which implies that the system is linear.

Again, x (t) = u (t) – u (t-z) –> y (t) and X

_{1}(t) = x (t – 1) –> y

_{1}(t).

So, we get, y

_{1}(t) ≠ y (t –1), which implies that the system is time varying.

11. The running integrator, given by y(t) = \(∫_{-∞}^∞ x(t) \,dt\) has ____________

a) No finite singularities in it’s double sided Laplace transform Y(s)

b) Produces an abounded output for every causal bounded input

c) Produces a bounded output for every anti-causal bounded input

d) Has no finite zeroes in it’s double sided Laplace transform Y (s)

View Answer

Explanation: The running integrator \(∫_{-∞}^t x(t)\,dt = 0\) for every causal system. As causal systems have no memory and the initial value is zero, the output is followed by input. So, y (t) will always be bounded if this function is a causal bounded system.

12. A signal x (t) is given by

x(t) = 1, -T/4<t≤3T/4

= -1, 3T/4<t≤7T/4

= -x (t+T)

Which among the following gives the fundamental Fourier terms of x (t)?

a) \(\frac{4}{π} cos(\frac{πt}{T} + \frac{π}{4})\)

b) \(\frac{4}{π} cos(\frac{πt}{T} – \frac{π}{4})\)

c) \(\frac{4}{π} sin(\frac{πt}{T} – \frac{π}{4})\)

d) \(\frac{4}{π} sin(\frac{πt}{T} + \frac{π}{4})\)

View Answer

Explanation: Given signal,

x(t) = 1, -T/4<t≤3T/4

= -1, 3T/4<t≤7T/4

= -x (t+T)

Now by property of symmetry of Fourier transform of x (f), we get the fundamental Fourier term as, \(\frac{4}{π} sin(\frac{πt}{T} – \frac{π}{4})\).

13. The type of systems which are characterized by input and the output capable of taking any value in a particular set of values are called as __________

a) Analog

b) Discrete

c) Digital

d) Continuous

View Answer

Explanation: We know that continuous systems have a restriction on the basis of the upper bound and lower bound. However within this set, the input and output can assume any value. Hence, there are infinite values attainable in this system.

14. In Maxwell’s capacitance bridge for calculating unknown inductance, the various values at balance are, R_{1} = 300 Ω, R_{2} = 700 Ω, R_{3} = 1500 Ω, C_{4} = 0.8 μF. Calculate R_{1}, L_{1} and Q factor, if the frequency is 1100 Hz.

a) 240 Ω, 0.12 H, 3.14

b) 140 Ω, 0.168 H, 8.29

c) 140 Ω, 0.12 H, 5.92

d) 240 Ω, 0.36 H, 8.29

View Answer

Explanation: From Maxwell’s capacitance, we have

R

_{1}= \(\frac{R_2 R_3}{R_4} = \frac{300 × 700}{1500}\) = 140 Ω

L

_{1}= R

_{2}R

_{3}C

_{4}

= 300 × 700 × 0.8 × 10

^{-6}= 0.168 H

∴ Q = \(\frac{ωL_1}{R_1}\).

15. Given a real valued function y (t) with period T. Its trigonometric Fourier series expansion contains no term of frequency ω = 2π \(\frac{(2k)}{T}\); where, k = 1, 2….. Also no terms are present. Then, y(t) satisfies the equation ____________

a) y (t) = y (t+T) = -y (t+\(\frac{T}{2}\))

b) y (t) = y (t+T) = y (t+\(\frac{T}{2}\))

c) y (t) = y (t-T) = -y (t-\(\frac{T}{2}\))

d) y (t) = y (t-T) = y (t-\(\frac{T}{2}\))

View Answer

Explanation: For an even symmetry, y (t) = y (t-T)

Thus no sine component will exist because b

_{n}=0 and by half wave symmetry condition odd harmonics will exist.

Now, y (t) = y (t-\(\frac{T}{2}\))

Combining the two conditions, we get, y (t) = y (t-T) = y (t-\(\frac{T}{2}\)).

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