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Research Summary (What I Do and Why It’s Important)

This research compares analog and digital auditory recognition techniques and explores obstacle avoidance in autonomous underwater vehicles (AUVs). The study aims to develop low-power, real-time sound recognition and dual-use signal processing for optical and acoustic data. The results show the effectiveness of analog VLSI processing and the progress made in creating custom imaging and smoothing chips. This research is supported by grants from the NSF and USTLab.

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Research Summary (What I Do and Why It’s Important)

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  1. Research Summary(What I Do and Why It’s Important) DMS Lab Meeting Todd Massengill

  2. Auditory Recognition Comparison of Analog and Digital processing Motivated by requirement for portable real-time sound recognition (NSF grant) AUV Obstacle Avoidance Optical and Acoustic obstacle avoidance Define signals and a common processing technique Requires low power and functionality (USTLab, OR – Navy grant) A Tale of Two Projects

  3. How It All Began:Auditory Recognition • Built a tunable discrete bank of bandpass filters • Compared this with similar digital spectrum calculation (not filtering) • Compared also with an analog VLSI filter bank (Paul Hasler, GA Tech)

  4. Results Comparing Digital and Analog • Speaker and Context Independent Phoneme Recognition Digital – Discrete Analog – Analog VLSI – 42.22% 58.33% 39.72%

  5. The Next StepAnalog VLSI Processing • Ideally, each step in the recognition will move to Analog VLSI: • Preprocessing (filtering) • Cepstrum (multiply, DCT) • Hidden Markov Model

  6. How It Ends:Obstacle Avoidance • Project goal: • Design low-power, dual-use signal processing for optical (image) and acoustic (sonar) data • Create a custom imaging chip (photodiode IC) • Work with USTLab to define the sonar signal • Create a custom image processing chip • Program a PIC microcontroller

  7. Current Status:Smoothing Chip (20x20) • Fabricated with MOSIS 1.8m process • Tested using LabView • Smoothing demonstrated in one dimension • On-chip decoder needs to be re-designed for smoothing in two dimensions

  8. Current Status:Imaging Chip (32x32) • Fabricated with MOSIS 1.8m process • In Testing using LabView: • Need to find proper bias voltages and integration times • Characterize response to varying light levels • Verify coupling between imaging chip outputs and smoothing chip inputs

  9. Design Iteration and Demonstration • Design Iteration • Applied for grant from MOSIS for fabrication of smoothing and imaging chips on 0.5m process (Jan. 22/28 2001) • Demonstrate Imaging chip in a pool, capturing images of the USTLab AUV • Demonstrate Smoothing chip with revised decoder and increased resolution (32x32)

  10. Acknowlegements • Auditory Research • NSF Award #ECS-9907464 • Collaboration with Paul Hasler (GA Tech) • AUV Obstacle Avoidance • USTLab • Academic Advisor • Denise Wilson

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