Title: ESONET, Network of Excellence
Principle Investigator: Roland Person
Abstract:
Start date: : March 2007End date: February 2010
Financing: European Comision, Contract 036851, EC FP6
Link:
Link to module:
Publication list:
An adapting neural network for sperm whale separation
Real-time acoustic monitoring of the deep-ocean environment
Listening to the deep-ocean environment in a changing climate
Real time detection and classification of natural biological and anthropogenic sounds from underwater antennas
System architecture for real-time monitoring of noise pollution
Real time classification of sperm whale clicks and shipping impulses from a deep sea observatory
Real time classification system for acoustic events in the marine environmen
Architecture for the Real-Time Monitoring of Noise Pollution and Marine Mammal Activity
Real-time processing and management of acoustic data streams in LIDO
An automated, real time classification system for biological and anthropogenic sounds from fixed ocean observatories
Listening to the deep
Real-time acoustic classification of sperm whale clicks and shipping impulses from deep-sea observatories
Listen to the deep: Real-time monitoring of acoustic events
Real-time acoustic monitoring of the deep-ocean environment.
Real-time acoustic monitoring of the deep-ocean environment,
Space–time and hybrid algorithms for the passive acoustic localisation of sperm whales and vessels
Listening to the Deep: Live monitoring of ocean noise and cetacean acoustic signals
Localising Cetacean Sounds for the Real-Time Mitigation and Long-Term Acoustic Monitoring of Noise
Societal need for improved understanding of climate change, anthropogenic impacts, and geo-hazard warning drive development of ocean observatories in European Seas
A framework for the automated real-time detection of short tonal sounds from ocean observatories
Real-Time Monitoring of Noise in Cetacean Acoustic Niches
Participation:

Antonio M. Sánchez