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