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