EE 313 Linear Systems and Signals - Lecture 1

Before Lecture

• "Crossfire", Stevie Ray Vaughan, 1989, on Austin City Limits. #12 guitarist of all time by Rolling Stone Magazine in 2011.

Announcements

• Lecture schedule

• UT Austin: undergraduate course syllabi (public site) - course instructor survey results (internal site)

Lecture

• Lecture slides on Introduction & Sinusoids in PowerPoint format.
  • Fall 2024 Part 1
    • Goals. Students hope to learn more about
      • audio processing including analog-to-digital (A/D) and digital-to-analog (D/A) conversion
      • video processing
      • analog music
      • computer vision
      • sensor feedback
      • common filtering techniques
      • how to transmit information wirelessly
    • Example: Speech compression and decompression
      • Take 10-40ms of speech samples.
      • Develop a signal processing model of the production of the speech
        • Model the air coming out of the lungs and going through the glottis as a signal generator (input)
        • Model the change in the air coming from the glottis by the mouth and nose as a system (system)
        • Output of the system approximates the speech samples
      • Compress the values of the parameters for the signal generation and the system
      • Transmit the compressed values of the parameters instead of the speech samples (about 8:1 compression)
  • Fall 2024 Part 2
    • Pillars of electrical engineering: randomness and frequency domain
    • Pillars of computer engineering: state and complexity
    • Board. Analog vs. digital amplitudes
    • Board. Sampling a sinusoidal signal
    • Board. Speech and audio sampling rates
    • In lecture, we tried out different sampling rates fs to see its effect on cosine signal in Matlab

Supplemental Material

• Fall 2023 Part 2
  • Board. Sampling a sinusoidal signal
  • Board. ECE as combination of Math, CS and Physics
• Fall 2021 Part 1
  • Periodicity
  • Student goals: proficiency in Matlab; intuitive understanding of signals; learn more about applications; and describe signals by looking at them
  • Applications: speech processing; image processing; 5G & 6G technologies; USB & PCI Express; automotive sensors (e.g. engine control); optical communications; and quantum computing.
• Fall 2021 Part 2
  • Signals (review)
    • patterns of variations; waveform; measurement of a physical phenomenon
    • examples: radio, USB, HDMI, UART, 4G, 5G, fiber optic, speech, audio, image, and video signals
  • Systems (review)
    • change or convert a signal; generate a signal
    • examples: radio, USB, HDMI, UART, 4G, 5G, and fiber optic transmitter/receiver
  • Signal processing (review)
    • extraction of information from signals
    • examples: radio for weather forecasting; car radio; videoconference foreground/background separation
  • Sampling
  • Averaging and squaring blocks
• Fall 2017 audio recording of the presentation of slides 1-1 to 1-13
• IEEE Signal Processing Society
• Signal Processing Information Base at the Federal University of Santa Catarina in Brazil.
• Connexions open educational resources.

Last updated 09/03/24. Send comments to Prof. Evans at bevans@ece.utexas.edu