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AllInfoHub – MCQ Practice

Signals and Systems – Multiple Choice Questions (MCQs)

  1. 61. A system with a transfer function H(s) = 1/(s+1) is a:

    • A. Low-pass filter
    • B. High-pass filter
    • C. Band-pass filter
    • D. Band-stop filter
  2. 62. A system with a transfer function H(s) = s/(s+1) is a:

    • A. Low-pass filter
    • B. High-pass filter
    • C. Band-pass filter
    • D. Band-stop filter
  3. 63. The fundamental period of a signal x(t) = cos(ω₀t) + sin(2ω₀t) is:

    • A. π/ω₀
    • B. 2π/ω₀
    • C. 4π/ω₀
    • D. π/2ω₀
  4. 64. The Nyquist rate is the minimum sampling frequency required to avoid:

    • A. Aliasing
    • B. Quantization error
    • C. Noise
    • D. Distortion
  5. 65. An anti-aliasing filter is a ________ filter.

    • A. Low-pass
    • B. High-pass
    • C. Band-pass
    • D. Band-stop
  6. 66. The Laplace Transform is a generalization of the:

    • A. Fourier Transform
    • B. Z-Transform
    • C. Hilbert Transform
    • D. Wavelet Transform
  7. 67. A system is said to be BIBO stable if every bounded input results in a:

    • A. Bounded output
    • B. Unbounded output
    • C. Zero output
    • D. Constant output
  8. 68. The convolution integral is used to find the output of an LTI system given its input and:

    • A. Impulse response
    • B. Frequency response
    • C. Transfer function
    • D. Poles and zeros
  9. 69. The impulse response of an ideal high-pass filter is:

    • A. Sinc function
    • B. Derivative of sinc function
    • C. Exponential function
    • D. Unit step function
  10. 70. The initial value theorem for Z-transform states that x[0] = :

    • A. lim(z->∞) X(z)
    • B. lim(z->0) X(z)
    • C. lim(z->1) X(z)
    • D. X(0)
  11. 71. The final value theorem for Z-transform states that lim(n->∞) x[n] = :

    • A. lim(z->1) (z-1)X(z)
    • B. lim(z->∞) (z-1)X(z)
    • C. lim(z->0) (z-1)X(z)
    • D. X(1)
  12. 72. The convolution sum is used for:

    • A. Continuous-time systems
    • B. Discrete-time systems
    • C. Analog systems
    • D. Non-linear systems