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