Bioacoustic Monitoring in the Terrestrial Environment

Bioacoustic Monitoring in the Terrestrial Environment

A Workshop at the James Reserve

October 15-18, 2008

Sponsored by: The National Science Foundation (IDBR-0731674), The UCLA Center for Embedded Network Sensing, The UCLA Department of Ecology and Evolutionary Biology, and the UCLA School of Engineering and Applied Sciences

Needs

9:10 - 9:40 - Gail Patricelli, UC Davis-Evolution and Ecology - Using Arrays to Study Noise on Sage Grouse Leks and Study Song Directionality
9:40 - 10:10 - Dan Mennill, University of Windsor - Biology - Using Microphone Arrays to Explore Communication Strategies in Songbirds
10:10 - 10:40 - Chris Clark, Cornell-Laboratory of Ornithology - Acoustic Ecology: Spatio-temporal Varibility in Bioacoustic Space
11:00 - 11:30 - Jill Deppe, NASA-Goddard Earth Sciences and Technology Center - Perspectives From a Field Researcher: Spatio-temporal Responses of Birds to Natural and Anthropogenic Distrubances
11:30 - 12:00 - Sean Hanser / Brenda McCowen, UC Davis-Veterinary School / Primate Center - Passive Acoustic Monitoring for Welfare and Conservation
12:00 - 12:30 - Jim Omura, Moore Foundation - Animal Tracking Technology for Environmental Research

Abilities

1:30 - 2:00 - Kung Yao, UCLA Engineering - Approximate Maximum-Likelihood Algorithm for Acoustical Beamforming and Localization
2:00 - 2:30 - John Burt, University of Washington - Increasing Acoustic Location Accuracy by Reducing Time of Arrival Estimation Errors
2:30 - 3:00 - Kathy Cortopassi, Cornell Laboratory of Ornithology - Measurement and Classification of Acoustic Signals
3:30 - 4:00 - Ed Stabler, UCLA - Statistical Learning Theory and Communication
4:30 - 5:00 - Lewis Girod, MIT - Wireless Communication and Hardware Development

Dinner Talk

6:00 - 8:00 - Deborah Estrin, Director of the Center for Embedded Network Sensing (CENS) - CENS - Center for Embedded Networked Sensing

Day 2

Hardware and Recognition Breakouts

Field Research and Localization Breakouts

Reports from Breakout Groups

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