Signal Processing MCQs

1. What is signal processing? A) The process of generating random signals B) The process of modifying or analyzing signals to extract information C) The process of transmitting signals over long distances D) The process of amplifying signals Answer: B) The process of modifying or analyzing signals to extract information 2. Which of the following is a continuous-time signal? A) Digital signal B) Analog signal C) Binary signal D) Discrete-time signal Answer: B) Analog signal 3. What is the Fourier transform used for in signal processing? A) To convert analog signals to digital signals B) To analyze signals in the frequency domain C) To amplify signals D) To generate random signals Answer: B) To analyze signals in the frequency domain 4. What is the Nyquist-Shannon sampling theorem? A) It states that a signal must be sampled at a rate less than twice its highest frequency component B) It states that a signal must be sampled at a rate greater than twice its highest frequency component C) It states that a signal must be sampled at a rate equal to its highest frequency component D) It states that a signal must be sampled at a rate determined by the signal’s amplitude Answer: B) It states that a signal must be sampled at a rate greater than twice its highest frequency component 5. What is the impulse response of a system? A) The output of the system when the input is an impulse signal B) The response of the system to a sinusoidal input C) The transfer function of the system D) The Fourier transform of the system Answer: A) The output of the system when the input is an impulse signal 6. What is the Laplace transform used for in signal processing? A) To analyze signals in the frequency domain B) To convert analog signals to digital signals C) To generate random signals D) To analyze signals in the time domain Answer: A) To analyze signals in the frequency domain 7. What is the purpose of digital filtering in signal processing? A) To convert analog signals to digital signals B) To analyze signals in the frequency domain C) To remove or enhance certain frequency components of a signal D) To amplify signals Answer: C) To remove or enhance certain frequency components of a signal 8. Which of the following is a commonly used digital filter? A) Butterworth filter B) Fourier filter C) Laplace filter D) Nyquist filter Answer: A) Butterworth filter 9. What is the difference between FIR and IIR filters? A) FIR filters have infinite impulse response, while IIR filters have finite impulse response B) FIR filters have finite impulse response, while IIR filters have infinite impulse response C) FIR filters use Laplace transform, while IIR filters use Fourier transform D) FIR filters are used for analog signals, while IIR filters are used for digital signals Answer: B) FIR filters have finite impulse response, while IIR filters have infinite impulse response 10. What is signal-to-noise ratio (SNR) in signal processing? A) The ratio of the signal power to the noise power in a signal B) The frequency range of a signal C) The amplitude of a signal D) The time duration of a signal Answer: A) The ratio of the signal power to the noise power in a signal 11. Which of the following is a common method for noise reduction in signal processing? A) Amplification B) Modulation C) Filtering D) Demodulation Answer: C) Filtering 12. What is the purpose of modulation in signal processing? A) To amplify signals B) To reduce noise in signals C) To convert digital signals to analog signals D) To transmit signals over long distances Answer: D) To transmit signals over long distances 13. Which of the following is a modulation technique used in communication systems? A) Amplification modulation B) Frequency modulation (FM) C) Noise modulation D) Time modulation Answer: B) Frequency modulation (FM) 14. What is the role of demodulation in signal processing? A) To convert analog signals to digital signals B) To extract information from modulated signals C) To amplify signals D) To generate random signals Answer: B) To extract information from modulated signals 15. What is the purpose of a low-pass filter in signal processing? A) To pass low-frequency components of a signal and attenuate high-frequency components B) To pass high-frequency components of a signal and attenuate low-frequency components C) To pass all frequency components of a signal D) To amplify signals Answer: A) To pass low-frequency components of a signal and attenuate high-frequency components 16. Which of the following is a common application of signal processing? A) Weather forecasting B) Automotive engineering C) Medical imaging D) All of the above Answer: D) All of the above 17. What is the autocorrelation function used for in signal processing? A) To measure the correlation between two different signals B) To measure the correlation of a signal with itself at different time shifts C) To measure the amplitude of a signal D) To measure the frequency of a signal Answer: B) To measure the correlation of a signal with itself at different time shifts 18. What is the purpose of time-domain analysis in signal processing? A) To analyze signals in the frequency domain B) To analyze signals in the time domain C) To amplify signals D) To generate random signals Answer: B) To analyze signals in the time domain 19. Which of the following is a characteristic of a periodic signal? A) It has a finite duration B) It repeats itself at regular intervals C) It has random amplitude variations D) It is not affected by noise Answer: B) It repeats itself at regular intervals 20. What is the sampling theorem in signal processing? A) It states that a signal must be sampled at a rate less than its highest frequency component B) It states that a signal must be sampled at a rate equal to its highest frequency component C) It states that a signal must be sampled at a rate greater than twice its highest frequency component D) It states that a signal must be sampled at a rate greater than its lowest frequency component Answer: C) It states that a signal must be sampled at a rate greater than twice its highest frequency component 21. What is the purpose of digital signal processing (DSP)? A) To analyze analog signals B) To analyze digital signals C) To convert analog signals to digital signals D) To convert digital signals to analog signals Answer: B) To analyze digital signals 22. Which of the following is a commonly used windowing function in signal processing? A) Rectangular window B) Hamming window C) Gaussian window D) All of the above Answer: D) All of the above 23. What is the role of inverse Fourier transform in signal processing? A) To convert time-domain signals to frequency-domain signals B) To convert frequency-domain signals to time-domain signals C) To analyze signals in the time domain D) To analyze signals in the frequency domain Answer: B) To convert frequency-domain signals to time-domain signals 24. What is aliasing in signal processing? A) The process of sampling a signal at a rate greater than its highest frequency component B) The process of sampling a signal at a rate equal to its highest frequency component C) The process of sampling a signal at a rate less than its highest frequency component D) The process of converting analog signals to digital signals Answer: C) The process of sampling a signal at a rate less than its highest frequency component 25. What is the Discrete Fourier Transform (DFT) used for in signal processing? A) To analyze signals in the frequency domain B) To convert digital signals to analog signals C) To amplify signals D) To analyze signals in the time domain Answer: A) To analyze signals in the frequency domain 26. What is the difference between the Fast Fourier Transform (FFT) and the Discrete Fourier Transform (DFT)? A) FFT is used for analog signals, while DFT is used for digital signals B) FFT is faster than DFT for computing the Fourier transform of a signal C) DFT is faster than FFT for computing the Fourier transform of a signal D) FFT and DFT are identical and interchangeable Answer: B) FFT is faster than DFT for computing the Fourier transform of a signal 27. What is the purpose of a digital oscilloscope in signal processing? A) To convert analog signals to digital signals B) To measure and display voltage signals over time C) To generate random signals D) To analyze signals in the frequency domain Answer: B) To measure and display voltage signals over time 28. What is wavelet transform in signal processing? A) A method for converting analog signals to digital signals B) A technique for analyzing signals in both time and frequency domains simultaneously C) A method for generating random signals D) A technique for amplifying signals Answer: B) A technique for analyzing signals in both time and frequency domains simultaneously 29. Which of the following is a characteristic of a discrete-time signal? A) It is continuous in time B) It is represented by a sequence of numbers C) It cannot be analyzed using digital signal processing D) It is only used in analog systems Answer: B) It is represented by a sequence of numbers 30. What is the purpose of normalization in signal processing? A) To adjust the amplitude of a signal B) To convert analog signals to digital signals C) To analyze signals in the frequency domain D) To generate random signals Answer: A) To adjust the amplitude of a signal 31. What is the role of a phase-locked loop (PLL) in signal processing? A) To generate random signals B) To stabilize and synchronize the phase of a signal C) To amplify signals D) To analyze signals in the time domain Answer: B) To stabilize and synchronize the phase of a signal 32. What is quantization in digital signal processing? A) The process of converting continuous signals to discrete signals B) The process of amplifying signals C) The process of converting discrete signals to continuous signals D) The process of analyzing signals in the frequency domain Answer: A) The process of converting continuous signals to discrete signals 33. What is the purpose of a moving average filter in signal processing? A) To amplify signals B) To remove high-frequency noise from a signal C) To convert analog signals to digital signals D) To analyze signals in the frequency domain Answer: B) To remove high-frequency noise from a signal 34. What is the difference between a low-pass filter and a high-pass filter? A) A low-pass filter allows high-frequency components to pass through, while a high-pass filter allows low-frequency components to pass through B) A low-pass filter allows low-frequency components to pass through, while a high-pass filter allows high-frequency components to pass through C) A low-pass filter amplifies signals, while a high-pass filter attenuates signals D) A low-pass filter is used for analog signals, while a high-pass filter is used for digital signals Answer: B) A low-pass filter allows low-frequency components to pass through, while a high-pass filter allows high-frequency components to pass through 35. What is the purpose of signal compression in signal processing? A) To increase the size of a signal B) To reduce the size of a signal for efficient storage and transmission C) To amplify signals D) To generate random signals Answer: B) To reduce the size of a signal for efficient storage and transmission 36. What is the concept of entropy in signal processing? A) A measure of the signal’s amplitude B) A measure of the signal’s frequency content C) A measure of the uncertainty or randomness in a signal D) A measure of the signal’s duration Answer: C) A measure of the uncertainty or randomness in a signal 37. What is a band-pass filter used for in signal processing? A) To pass only low-frequency components and block high-frequency components B) To pass only high-frequency components and block low-frequency components C) To pass a specific range of frequencies and block frequencies outside this range D) To pass all frequency components equally Answer: C) To pass a specific range of frequencies and block frequencies outside this range 38. What is the role of a digital-to-analog converter (DAC) in signal processing? A) To convert digital signals to analog signals B) To convert analog signals to digital signals C) To amplify signals D) To analyze signals in the frequency domain Answer: A) To convert digital signals to analog signals 39. What is the purpose of a spectrum analyzer in signal processing? A) To convert analog signals to digital signals B) To measure the amplitude of a signal at different frequencies C) To generate random signals D) To analyze signals in the time domain Answer: B) To measure the amplitude of a signal at different frequencies 40. What is the role of a phase shifter in signal processing? A) To adjust the amplitude of a signal B) To alter the phase of a signal C) To convert digital signals to analog signals D) To analyze signals in the frequency domain Answer: B) To alter the phase of a signal

Signal Processing MCQs

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