Digital Signal Processing Basics
  • 1. What is the purpose of digital signal processing?
A) To process images using analog technology
B) To store signals in physical media
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 continuous signal with infinite values
B) A signal that amplifies quickly
C) A signal that changes smoothly over time
D) A signal defined at discrete time points
  • 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 store signals in a database
B) To efficiently compute the frequency components of a signal
C) To amplify the signal power
D) To convert analog signals to digital signals
  • 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 predicts the lifetime of digital signal processors
B) It calculates the signal-to-noise ratio of a signal
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 perform mathematical operations on digital signals
B) To generate random noise signals
C) To analyze physical vibrations
D) To convert analog signals to digital signals
  • 9. What is the purpose of applying a window function in digital signal processing?
A) To reduce spectral leakage in Fourier analysis
B) To create reverberation effects
C) To increase signal distortion
D) To amplify high-frequency noise
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