ESE297 - Intro to Undergraduate Research

• 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
  • media:Data_Acquisition_Basics.pdf Data Acquisition Basics
  • Task 3 - 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 media:DelayedChirp2DAC.vi DelayedChirp2DAC.vi. Zoom in in the time and frequency domain to examine the waveforms in detail. Describe in detail what you see
  • Task 4 - 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?