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