ESE297 - Intro to Undergraduate Research

• Meeting Time: Wednesday 8:30 - 10 am
• Office Hours: Monday 8:30 - 10 am or by appointment
• Team Members: Alex Gu, Andrew Wiens, Alexander Benjamin, Anisha Rastogi, Charlie Kang, Edison Kociu, Lisa Goldman, Michael Scholl, Sam Fok, Sarah Fern, Sophia (Xinyuan) Cui, Will Donnelly
• PhD Supervisor: Sandeep, Andrew, Phani
• Faculty Supervisor: Arye Nehorai
• Goal:
  • Part1: Case Study - Study acoustic source localization using Microphone array
    • Background and Theory
    • Data Acquisition Basics
    • Introduction to Digital Signal Processing Tools
    • Graphical User Interface and Robot Control
  • Part2: Implement algorithm using sbRIO robot and microphone array

Lecture Notes

• Week 1: Acoustic Source Location Background and Theory
  • Additional references:
    • Joshua York, Acoustic Source Localization, ESE497, Fall 2008
    • Raphael Schwartz and Zachary Knudsen, Robotic Microphone Sensing: Data Processing Architectures for Real-Time, Acoustic Source Position Estimation, ESE497, Fall 2009
  • Task 1: Read the material that we discussed in our meeting today and the additional references listed above.
  • Task 2: Derive the expressions presented in slide 10.
• Week 2: Data Acquisition Basics
  • LabVIEW Tutorial
    • Task 3 - Finish Exercises
  • Data Acquisition Basics
    • Task 4 - Finish exercise
  • Task 5 - Connect wires from A00 and AO1 to AI0 and AI1 (Disconnect the Function Generator output). Modify your vi to collect samples from both AI0 and AI1. Then run DelayedChirp2DAC.vi. Zoom in in the time and frequency domain to examine the waveforms in detail. Describe in detail what you see. Hint: Start and stop your Data Acquisition vi until the entire signal is in the middle of the buffer.
  • Task 6 - Using the 4 microphone array and the metal data acquistion box, collect samples from all 4 channels and display them on your graph. Measure the delay between the signals - does it agree with the speed of sound?
• Week 3: Filters Basics
  • Tutorial