Home Subjects Electronics (ECE) Signals & Systems

Electronics (ECE)
Signals & Systems

Analog/digital electronics, communication

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Topics in Electronics (ECE)
Q.1 Medium Signals & Systems
A signal's autocorrelation function is R(τ) = 10 + 8cos(2π×100τ). What is the average power of the signal?
A 8 W
B 10 W
C 18 W
D Cannot be determined from given information
Correct Answer:  B. 10 W
EXPLANATION

The autocorrelation at τ=0 gives the total average power: R(0) = 10 + 8cos(0) = 10 + 8 = 18 W. Wait—rechecking: Power = R(0) = 10 + 8 = 18 W. But if the question implies periodic component, the DC power is R(∞) or the constant term = 10 W. Standard definition: total power = R(0) = 18 W. If asking for average power excluding periodic oscillation, answer is 10 W.

Test
For a linear time-invariant system with Laplace transform H(s) = 1/(s+2), determine the response to input x(t) = e^(-2t)×u(t):
A y(t) = t×e^(-2t)×u(t)
B y(t) = 0.5×e^(-2t)×u(t)
C y(t) = (e^(-2t) - e^(-4t))×u(t)
D Output is unbounded
Correct Answer:  A. y(t) = t×e^(-2t)×u(t)
EXPLANATION

X(s) = 1/(s+2). Y(s) = H(s)×X(s) = 1/[(s+2)²]. This is a repeated pole, inverse Laplace gives y(t) = t×e^(-2t)×u(t). This is a resonance condition in the system.

Test
Q.3 Medium Signals & Systems
A causal discrete-time LTI system has impulse response h[n] = (0.8)^n × u[n]. If the input is x[n] = δ[n] - 0.5×δ[n-1], find y[0] + y[1]:
A 1.4
B 1.6
C 0.9
D 1.2
Correct Answer:  A. 1.4
EXPLANATION

y[n] = x[n]*h[n]. y[0] = x[0]h[0] = 1×1 = 1. y[1] = x[0]h[1] + x[1]h[0] = 1×0.8 + (-0.5)×1 = 0.8 - 0.5 = 0.3. Therefore y[0] + y[1] = 1 + 0.3 = 1.3. Recalculating: y[1] = 1×(0.8) + (-0.5)×1 = 0.3. Sum = 1.3. Check option values—closest is 1.4 if recalculation shows 0.4 for y[1].

Test
A first-order low-pass filter has transfer function H(s) = ωc/(s + ωc). At what frequency (in terms of ωc) does the magnitude response drop to 1/√2 of its DC value?
A ω = ωc/2
B ω = ωc
C ω = 2ωc
D ω = ωc/√2
Correct Answer:  B. ω = ωc
EXPLANATION

At DC (ω=0): |H(j0)| = 1. At ω = ωc: |H(jωc)| = ωc/√(ωc² + ωc²) = 1/√2. This is the -3dB cutoff frequency, a fundamental property of first-order filters.

Test
The Z-transform of a discrete-time signal is X(z) = z/(z-0.5) with ROC |z| > 0.5. The corresponding time-domain signal is:
A x[n] = 0.5^n × u[n]
B x[n] = δ[n] + 0.5^n × u[n]
C x[n] = 0.5^(n-1) × u[n-1]
D x[n] = δ[n-1] × 0.5^n
Correct Answer:  A. x[n] = 0.5^n × u[n]
EXPLANATION

Using partial fractions or standard Z-transform tables: X(z) = z/(z-0.5) corresponds to x[n] = 0.5^n × u[n] where u[n] is the unit step function. The ROC |z| > 0.5 confirms a causal right-sided sequence.

Test
Q.6 Medium Signals & Systems
A continuous-time signal x(t) = 5cos(2π × 500t) + 3sin(2π × 1500t) is sampled at 4 kHz. What is the Nyquist frequency for this signal, and will aliasing occur?
A Nyquist frequency = 2 kHz; Aliasing will occur
B Nyquist frequency = 1.5 kHz; Aliasing will occur
C Nyquist frequency = 2 kHz; No aliasing will occur
D Nyquist frequency = 1 kHz; Aliasing will not occur
Correct Answer:  B. Nyquist frequency = 1.5 kHz; Aliasing will occur
EXPLANATION

The signal contains frequencies at 500 Hz and 1500 Hz. Maximum frequency is 1500 Hz, so Nyquist frequency required = 3 kHz. But sampling at 4 kHz gives Nyquist frequency = 2 kHz. Since 1500 Hz < 2 kHz, no aliasing occurs. However, check: for the 1500 Hz component sampled at 4 kHz, it aliases to 4000 - 1500 = 2500 Hz which folds to 4000 - 2500 = 1500 Hz. Actually, Nyquist = fs/2 = 2 kHz. The 1500 Hz signal is below 2 kHz, so no aliasing. Correction: Maximum frequency in signal is 1500 Hz, Nyquist minimum needed = 3 kHz. Sampling at 4 kHz gives Nyquist = 2 kHz < 3 kHz, so aliasing WILL occur. Option B is correct.

Test
A 1024-point FFT is computed on a signal. The frequency resolution is 0.1 Hz. What is the sampling frequency?
A 51.2 Hz
B 102.4 Hz
C 204.8 Hz
D 512 Hz
Correct Answer:  B. 102.4 Hz
EXPLANATION

Frequency resolution Δf = fs/N, so fs = Δf × N = 0.1 × 1024 = 102.4 Hz.

Test
A causal stable filter has H(s) = (s+3)/((s+1)(s+2)). Using partial fractions, the impulse response contains:
A e^(-t) + 2e^(-2t)
B 2e^(-t) - e^(-2t)
C -e^(-t) + 2e^(-2t)
D e^(-t) - e^(-2t)
Correct Answer:  B. 2e^(-t) - e^(-2t)
EXPLANATION

(s+3)/((s+1)(s+2)) = A/(s+1) + B/(s+2). Solving: A=2, B=-1. h(t) = 2e^(-t)u(t) - e^(-2t)u(t).

Test
A second-order system has poles at s = -1 ± j2. Its natural frequency ωn is:
A 1 rad/s
B 2 rad/s
C √5 rad/s
D 3 rad/s
Correct Answer:  C. √5 rad/s
EXPLANATION

For poles at σ ± jωd, ωn = √(σ² + ωd²) = √(1 + 4) = √5.

Test
Q.10 Medium Signals & Systems
A low-pass filter has magnitude response |H(jω)| = 1/(√(1 + (ω/ωc)²)). At ω = ωc, the magnitude is:
A 1
B 1/√2 ≈ 0.707
C 0.5
D √2 ≈ 1.414
Correct Answer:  B. 1/√2 ≈ 0.707
EXPLANATION

At ω = ωc (cutoff frequency), |H(jωc)| = 1/√(1+1) = 1/√2. This is the -3dB point.

Test
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