Electronics (ECE) - MCQ Practice Questions
Practice free Electronics (ECE) multiple-choice questions with detailed answers and explanations. Perfect for competitive exam preparation.
400 questions | 100% Free
Which window function has the BEST frequency resolution but WORST spectral leakage?
Parseval's theorem states that energy in time domain equals energy in frequency domain. For discrete signals:
For a stable IIR filter with difference equation y[n] = 0.5y[n-1] + x[n], the DC gain is:
The concept of 'group delay' in filters refers to:
A linear phase FIR filter of length N has which characteristic for group delay?
A speech signal is band-limited to 4 kHz and sampled at 8 kHz. If 1000 samples are collected, what is the frequency resolution of its DFT?
A system with H(s) = (s+2)/((s+1)(s+3)) is analyzed. What is the steady-state response to u(t) = 10sin(2t)?
In multirate signal processing, if a signal is decimated by factor M and then interpolated by factor M, what is the output relationship to input?
A minimum-phase system has a zero at z = 2. Where should its mirror zero be placed for a linear-phase equivalent system?
A signal undergoes spectral analysis using FFT with windowing. If spectral leakage is observed, which of the following is NOT a solution?
A continuous-time system H(s) = 10/(s+2) is converted using bilinear transformation with T=0.1s. The resulting discrete system pole location is at:
For a system with impulse response h[n] = δ[n] + 2δ[n-1], the frequency response magnitude at ω = π is:
For a complex exponential signal e^(j2πf₀t) sampled at fs = 10 kHz with f₀ = 3 kHz, aliasing occurs at frequency:
A second-order system has poles at s = -1 ± j2. Its natural frequency ωn is:
A causal stable filter has H(s) = (s+3)/((s+1)(s+2)). Using partial fractions, the impulse response contains:
A 1024-point FFT is computed on a signal. The frequency resolution is 0.1 Hz. What is the sampling frequency?
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):