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Embedded Low Power Signal Processing for Passive Acoustic Monitoring
This project will attempt to explore the solution space around a number of key issues related to passive underwater acoustic monitoring. Namely the mitigation of acoustic flow noise in turbulent environments, digital compression techniques for underwater acoustic data and the implementation of real time signal processing algorithms related to the detection of marine mammals on ultra low power processors.
Faculty Supervisor:
Jean-Francois Bousquet
Student:
Partner:
Turbulent Research Inc
Discipline:
Engineering
Sector:
Ocean Tech; Environmental Science and Technology; Green/Alternative Energy; Ocean Tech; Environmental Science and Technology; Green/Alternative Energy
University:
Dalhousie University
Program:
Accelerate
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