Digital Signal Processing Basics
  • 1. What is the purpose of digital signal processing?
A) To create music using traditional instruments
B) To analyze and modify signals using digital systems
C) To process images using analog technology
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 continuous signal with infinite values
C) A signal defined at discrete time points
D) A signal that changes smoothly over time
  • 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 efficiently compute the frequency components of a signal
B) To store signals in a database
C) To amplify the signal power
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 convert analog signals to digital signals
C) To analyze physical vibrations
D) To perform mathematical operations on digital signals
  • 6. What is the Nyquist-Shannon sampling theorem in digital signal processing?
A) It states that a signal should be sampled at twice its highest frequency
B) It calculates the signal-to-noise ratio of a signal
C) It determines the color of digital signal displays
D) It predicts the lifetime of digital signal processors
  • 7. Which mathematical operation is commonly used for digital signal filtering?
A) Square root
B) Exponential growth
C) Convolution
D) Trigonometry
  • 8. What is Quantization in digital signal processing?
A) Doubling the amplitude of a signal
B) Creating random signal patterns
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 create reverberation effects
B) To reduce spectral leakage in Fourier analysis
C) To increase signal distortion
D) To amplify high-frequency noise
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