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Signal Processing — Part 2 MCQs with Explanations

Practice high-yield Electronics & Communications Engineering MCQs on Signal Processing — Part 2 with worked academic solutions for FPSC, PPSC, PTA, PAEC, NTS.

Questions
40
Difficulty Level
Exam-Level
Target Exams
FPSC, PPSC, PTA...
Estimated Time
48 mins
Exam-Level FPSC PPSC PTA PAEC NTS
Verified for Commission Syllabus • Oct 14, 2026
40

Verified Practice Questions

Interactive test mode with detailed academic worked solutions

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Question 1 of 40
★ FPSC ★ PPSC

The impulse response of an LTI system can be obtained by

Question 2 of 40
★ FPSC ★ PPSC

A system is defined by its impulse response h(n) = 2 n u(n - 2). The system is

Question 3 of 40
★ FPSC ★ PPSC

A discrete time linear shift-invariant system has an impulse response h[n] with h[0] = 1, h[1] = -1, h[2] = 2, and zero otherwise. The system is given an input sequence x[n] with x[0] = x[2] = 1 and zero otherwise. The number of nonzero samples in the output sequence y[n], and the value of y[2] are, respectively

Question 4 of 40
★ FPSC ★ PPSC

If the impulse response of a discrete-time system is h[n] = -5 n u[- n - 1], then the system function H(z) is equal to

Question 5 of 40
★ FPSC ★ PPSC

For an N-point FFT algorithm with N = 2 m , which one of the following statements is TRUE?

Question 6 of 40
★ FPSC ★ PPSC

A discrete-time signal x [n] = sin(π 2 n), n being an integer, is

Question 7 of 40
★ FPSC ★ PPSC

Which one of the following is an eigen function of the class of all continuous-time, linear, time-invariant systems (u(t) denotes the unit-step function)?

Question 8 of 40
★ FPSC ★ PPSC

The Fourier Transform of a function x(t) is X(f). The Fourier transform of $${{dx\left( t \right)} \over {dt}}$$ will be

Question 9 of 40
★ FPSC ★ PPSC

The magnitude and phase of the complex Fourier series coefficient a k of a periodic signal x(t) are shown in the figure. Choose the correct statement from the four choices given. Notation: C is the set of complex number, R is the set of purely real numbers, and P is the set of purely imaginary numbers.

Question 10 of 40
★ FPSC ★ PPSC

Let the signal i(t) = 0 outside the interval [T 1 , T 2 ], where T 1 and T 2 are finite. Furthermore, |f(t)| < ∞. The region of convergence (ROC) of the signal's bilateral Laplace transform F(s) is

Question 11 of 40
★ FPSC ★ PPSC

The z-transform F(z) of the function f(nT) = a nT is

Question 12 of 40
★ FPSC ★ PPSC

The function x(t) is shown in the figure. Even and odd parts of a unit-step function u(t) are respectively,

Question 13 of 40
★ FPSC ★ PPSC

For the discrete-time system shown in the figure, the poles of the system transfer function are located at

Question 14 of 40
★ FPSC ★ PPSC

Let $$x\left[ n \right] = {\left( { - {1 \over 9}} \right)^n}u\left( n \right) - {\left( { - {1 \over 3}} \right)^n}u\left( { - n - 1} \right).$$ The Region of Convergence (ROC) of the z-transform of x[n]

Question 15 of 40
★ FPSC ★ PPSC

An LTI system having transfer function $$\frac{{{s^2} + 1}}{{{s^2} + 2s + 1}}$$ and input x(t) = sin(t + 1) is in steady state. The output is sampled at a rate ω s rad/s to obtain the final output {y(k)}. Which of the following is true?

Question 16 of 40
★ FPSC ★ PPSC

Let x[n] = x[-n]. Let X(z) be the z-transform of x[n]. If 0.5 + j0.25 is a zero of X(z), which one of the following must also be a zero of X(z).

Question 17 of 40
★ FPSC ★ PPSC

Consider the sequence x[n] = {-4 - j5, 1 + j2, 4} The conjugate antisymmetric part of the sequence is

Question 18 of 40
★ FPSC ★ PPSC

If the region of convergence of x 1 [n] + x 2 [n] is $${1 \over 3} < \left| z \right| < {2 \over 3},$$ then the region of convergence of x 1 [n] - x 2 [n] includes

Question 19 of 40
★ FPSC ★ PPSC

The Fourier series of an odd periodic function, contains only

Question 20 of 40
★ FPSC ★ PPSC

Increased pulse-width in the flat-top sampling, leads to

Question 21 of 40
★ FPSC ★ PPSC

The z-transform of a system is $$H\left( z \right) = {z \over {z - 0.2}}.$$ If the ROC is |z| < 0.2, then the impulse response of the system is

Question 22 of 40
★ FPSC ★ PPSC

The Dirac-delta function δ(t) is defined as

Question 23 of 40
★ FPSC ★ PPSC

Let h(t) be the impulse response of a linear time invariant system. Then the response of the system for any input u(t) is

Question 24 of 40
★ FPSC ★ PPSC

The response of an initially relaxed linear constant parameter network to a unit impulse applied at t = 0 is 4e -2t u(t). The response of this network to a unit step function will be

Question 25 of 40
★ FPSC ★ PPSC

Consider the signal x(t) = cos(6πt) + sin(8πt), where t is in seconds. The Nyquist sampling rate (in samples/second) for the signal y(t) = x(2t + 5) is

Question 26 of 40
★ FPSC ★ PPSC

The impulse response h[n] of a linear time invariant system is given as $$h\left[ n \right] = \left\{ {\matrix{ { - 2\sqrt 2 ,} \cr {4\sqrt 2 ,} \cr {0,} \cr } } \right.\matrix{ {n = 1, - 1} \cr {n = 2, - 2} \cr {{\rm{otherwise}}} \cr } $$ If the input to the above system is the sequence $${e^{{{j\pi n} \over 4}}},$$ the output is

Question 27 of 40
★ FPSC ★ PPSC

If $$F\left( s \right) = L\left[ {f\left( t \right)} \right] = {{2\left( {s + 1} \right)} \over {{s^2} + 4s + 7}}$$ then the initial and final values of f(t) are respectively

Question 28 of 40
★ FPSC ★ PPSC

A causal LTI system is described by the difference equation 2y[n] = αy[n - 2] - 2x|n| - βx[n - 1]. The system is stable only if

Question 29 of 40
★ FPSC ★ PPSC

The function f(t) has the Fourier transform f(ω) The Fourier transform of $$g\left( t \right) = \left( {\int\limits_{ - \infty }^\infty {g\left( t \right){e^{ - j\omega }}dt} } \right)$$ is

Question 30 of 40
★ FPSC ★ PPSC

The z-transform of a signal is given by $$C\left( z \right) = {1 \over 4}{{{z^{ - 1}}\left( {1 - {z^{ - 4}}} \right)} \over {{{\left( {1 - {z^{ - 1}}} \right)}^2}}}.$$ Its final value is

Question 31 of 40
★ FPSC ★ PPSC

Let x(t) be a continuous time periodic signal with fundamental period T = 1 seconds. Let {a k } be the complex Fourier series coefficients of x(t), where k is integer valued. Consider the following statements about x(3t): 1. The complex Fourier series coefficients of x(3t) are {a k } where k is integer valued. 2. The complex Fourier series coefficients of x(3f) are {3a k } where k is integer valued. 3. The fundamental angular frequency of x(3t) is 6π rad/s. For the three statements above, which one of the following is correct?

Question 32 of 40
★ FPSC ★ PPSC

Let x(t) = cos(10πt) + cos(30πt) be sampled at 20 Hz and reconstructed using an ideal low-pass filter with cut-off frequency of 20 Hz. The frequency/frequencies present in the reconstructed signal is/are

Question 33 of 40
★ FPSC ★ PPSC

Consider a four point moving average filter defined by the equation $$y\left[ n \right] = \sum\nolimits_{i = 0}^3 {{a_i}x\left[ {n - i} \right]} .$$ The condition on the filter coefficients that results in a null at zero frequency is

Question 34 of 40
★ FPSC ★ PPSC

The Fourier transform of y(2n) will be

Question 35 of 40
★ FPSC ★ PPSC

The Fourier series of a real periodic function has only P. Cosine terms if it is even Q. Sine terms if it is even R. Cosine terms if it is odd S. Sine terms if it is odd Which of the above statements are correct?

Question 36 of 40
★ FPSC ★ PPSC

For a function g(t), it is given that $$\int\limits_{ - \infty }^{ + \infty } {g\left( t \right){e^{ - j\omega t}}dt = \omega {e^{ - 2{\omega ^2}}}} $$ for any real value $$\omega $$ . If $$y\left( t \right) = \int\limits_{ - \infty }^t {g\left( \tau \right)} d\tau ,\,{\rm{then}}\,\int\limits_{ - \infty }^{ + \infty } {y\left( t \right)} dt$$ is. . . . . . . .

Question 37 of 40
★ FPSC ★ PPSC

A linear discrete-time system has the characteristics equation, z 3 - 0.81 z = 0. The system

Question 38 of 40
★ FPSC ★ PPSC

A function is given by f(t) = sin 2 t + cos 2t. Which of the following is true?

Question 39 of 40
★ FPSC ★ PPSC

Two systems H 1 (z) and H 2 (z) are connected in cascade as shown below. The overall output y(n) is the same as the input x(n) with a one unit delay. The transfer function of the second system H 2 (z) is $$x\left( n \right) \to \boxed{{H_1}\left( z \right) = \frac{{\left( {1 - 0.4{z^{ - 1}}} \right)}}{{\left( {1 - 0.6{z^{ - 1}}} \right)}}} \to \boxed{{H_2}\left( z \right)} \to y\left( n \right)$$

Question 40 of 40
★ FPSC ★ PPSC

Consider the z-transform X(z) = 5z 2 + 4z -1 + 3; 0 < |z| < ∞. The inverse z-transform x[n] is

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