Signal Processing MCQs

1. What is a signal in the context of signal processing?
   A. A system that processes data
   B. A function representing physical quantities over time or space
   C. A random noise sequence
   D. A device used for communication

   Answer: B

2. Which of the following is an example of a continuous-time signal?
   A. Digital audio
   B. Analog voltage waveform
   C. Binary sequence
   D. Pixel intensity values

   Answer: B

3. What does the term “sampling” refer to in signal processing?
   A. Amplifying a signal
   B. Converting a continuous signal to a discrete one
   C. Filtering noise from a signal
   D. Multiplying two signals

   Answer: B

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4. The Fourier Transform is used to analyze a signal in the __________ domain.
   A. Time
   B. Frequency
   C. Spatial
   D. Digital

   Answer: B

5. Which of the following is the purpose of the Laplace Transform in signal processing?
   A. To convert a time-domain signal to its frequency-domain equivalent
   B. To simplify differential equations
   C. To measure signal amplitude
   D. To reconstruct a signal

   Answer: B

6. What does the term “Z-transform” primarily deal with?
   A. Continuous signals
   B. Discrete-time signals
   C. Analog filters
   D. Modulation

   Answer: B

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7. What is the main function of a low-pass filter?
   A. To block low-frequency components
   B. To allow low-frequency components to pass
   C. To amplify high-frequency components
   D. To isolate noise

   Answer: B

8. Which of the following filters is used to remove noise at specific frequencies?
   A. Bandpass filter
   B. Low-pass filter
   C. High-pass filter
   D. Notch filter

   Answer: D

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9.According to the Nyquist Theorem, the sampling frequency must be at least __________ the highest frequency of the signal to avoid aliasing.
A. Equal to
B. Twice
C. Half
D. Four times

Answer: B

9. What is aliasing in the context of signal processing?
   A. The distortion of a signal due to overlapping frequency components
   B. The amplification of noise in a signal
   C. The removal of high-frequency components
   D. The process of reconstructing a signal

   Answer: A

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11. Which technique is used in signal processing to compress data?
    A. Convolution
    B. Quantization
    C. Modulation
    D. Windowing

    Answer: B

12. Which signal processing operation is defined as the integration of the product of two signals, one of which is shifted and flipped?
    A. Fourier Transform
    B. Convolution
    C. Correlation
    D. Sampling

    Answer: B

13. The Discrete Cosine Transform (DCT) is widely used in which application?
    A. Audio processing
    B. Image compression (e.g., JPEG)
    C. Radar signal processing
    D. Radio modulation

    Answer: B

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14. In digital audio processing, which of the following techniques is used to remove noise?
    A. Low-pass filtering
    B. Interpolation
    C. Decimation
    D. Oversampling

    Answer: A

15. What is the primary goal of signal modulation in communications?
    A. To compress data
    B. To increase the frequency of the signal
    C. To encode information for transmission
    D. To enhance noise immunity

    Answer: C