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 create music using traditional instruments
D) To process images using analog technology
  • 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) Finite Impulse Response (FIR) filter
B) Analog voltage regulator
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 efficiently compute the frequency components of a signal
B) To convert analog signals to digital signals
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) Assigning discrete levels to continuous signal values
C) Doubling the amplitude of a signal
D) Creating random signal patterns
  • 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 calculates the signal-to-noise ratio of a signal
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 predicts the lifetime of digital signal processors
  • 8. What is the role of a Digital Signal Processor (DSP) in digital signal processing?
A) To analyze physical vibrations
B) To generate random noise signals
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 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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