Digital Signal Processing Basics - Exam
  • 1. What is the purpose of digital signal processing?
A) To store signals in physical media
B) To create music using traditional instruments
C) To process images using analog technology
D) To analyze and modify signals using digital systems
  • 2. What is a discrete signal in digital signal processing?
A) A signal that changes smoothly over time
B) A signal defined at discrete time points
C) A signal that amplifies quickly
D) A continuous signal with infinite values
  • 3. Which of the following is an example of a digital filter?
A) Finite Impulse Response (FIR) filter
B) Analog voltage regulator
C) Mechanical water filter
D) Optical lens filter
  • 4. What is the purpose of the Fast Fourier Transform (FFT) in digital signal processing?
A) To efficiently compute the frequency components of a signal
B) To store signals in a database
C) To convert analog signals to digital signals
D) To amplify the signal power
  • 5. What is Quantization in digital signal processing?
A) Doubling the amplitude of a signal
B) Creating random signal patterns
C) Assigning discrete levels to continuous signal values
D) Reducing the number of samples in a signal
  • 6. Which mathematical operation is commonly used for digital signal filtering?
A) Exponential growth
B) Trigonometry
C) Square root
D) Convolution
  • 7. What is the Nyquist-Shannon sampling theorem in digital signal processing?
A) It states that a signal should be sampled at twice its highest frequency
B) It calculates the signal-to-noise ratio of a signal
C) It predicts the lifetime of digital signal processors
D) It determines the color of digital signal displays
  • 8. What is the role of a Digital Signal Processor (DSP) in digital signal processing?
A) To generate random noise signals
B) To analyze physical vibrations
C) To perform mathematical operations on digital signals
D) To convert analog signals to digital signals
  • 9. What is the purpose of applying a window function in digital signal processing?
A) To amplify high-frequency noise
B) To increase signal distortion
C) To reduce spectral leakage in Fourier analysis
D) To create reverberation effects
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