Digital Signal Processing Basics
  • 1. What is the purpose of digital signal processing?
A) To store signals in physical media
B) To process images using analog technology
C) To analyze and modify signals using digital systems
D) To create music using traditional instruments
  • 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 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) Analog voltage regulator
B) Optical lens filter
C) Finite Impulse Response (FIR) filter
D) Mechanical water filter
  • 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 Quantization in digital signal processing?
A) Assigning discrete levels to continuous signal values
B) Doubling the amplitude of a signal
C) Reducing the number of samples in a signal
D) Creating random signal patterns
  • 6. Which mathematical operation is commonly used for digital signal filtering?
A) Exponential growth
B) Convolution
C) Square root
D) Trigonometry
  • 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 predicts the lifetime of digital signal processors
C) It states that a signal should be sampled at twice its highest frequency
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 generate random noise signals
B) To convert analog signals to digital signals
C) To analyze physical vibrations
D) To perform mathematical operations on digital signals
  • 9. What is the purpose of applying a window function in digital signal processing?
A) To increase signal distortion
B) To amplify high-frequency noise
C) To create reverberation effects
D) To reduce spectral leakage in Fourier analysis
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