Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Pina Gruden

Showing results (1-10 of 7) with videos related to

Pageof 1
Sort By:
The Journal of the Acoustical Society of America|December 5, 2016
Automated tracking of dolphin whistles using Gaussian mixture probability hypothesis density filtersPina Gruden, Paul R White
The Journal of the Acoustical Society of America|December 2, 2020
Automated extraction of dolphin whistles-A sequential Monte Carlo probability hypothesis density approachPina Gruden, Paul R White
The Journal of the Acoustical Society of America|December 2, 2021
Tracking time differences of arrivals of multiple sound sources in the presence of clutter and missed detectionsPina Gruden, Eva-Marie Nosal, Erin Oleson
Scientific Reports|May 13, 2025
The MAMBAT framework for acoustic tracking of multiple animalsPina Gruden, Eva-Marie Nosal, E Elizabeth Henderson
The Journal of the Acoustical Society of America|July 26, 2023
Using deep learning to track time × frequency whistle contours of toothed whales without human-annotated training dataPu Li, Xiaobai Liu, Holger Klinck, et al.
The Journal of the Acoustical Society of America|October 24, 2023
Automating multi-target tracking of singing humpback whales recorded with vector sensorsPina Gruden, Junsu Jang, Anke Kügler, et al.
The Journal of the Acoustical Society of America|January 28, 2026
A framework for passive acoustic localization and tracking using a wide-baseline array demonstrated with Rice's whales (Balaenoptera ricei)Ludovic Tenorio-Hallé, Kaitlin E Frasier, Héloïse Frouin-Mouy, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
The Journal of the Acoustical Society of America|December 5, 2016
Automated tracking of dolphin whistles using Gaussian mixture probability hypothesis density filtersPina Gruden, Paul R White
The Journal of the Acoustical Society of America|December 2, 2020
Automated extraction of dolphin whistles-A sequential Monte Carlo probability hypothesis density approachPina Gruden, Paul R White
The Journal of the Acoustical Society of America|December 2, 2021
Tracking time differences of arrivals of multiple sound sources in the presence of clutter and missed detectionsPina Gruden, Eva-Marie Nosal, Erin Oleson
Scientific Reports|May 13, 2025
The MAMBAT framework for acoustic tracking of multiple animalsPina Gruden, Eva-Marie Nosal, E Elizabeth Henderson
The Journal of the Acoustical Society of America|July 26, 2023
Using deep learning to track time × frequency whistle contours of toothed whales without human-annotated training dataPu Li, Xiaobai Liu, Holger Klinck, et al.
The Journal of the Acoustical Society of America|October 24, 2023
Automating multi-target tracking of singing humpback whales recorded with vector sensorsPina Gruden, Junsu Jang, Anke Kügler, et al.
The Journal of the Acoustical Society of America|January 28, 2026
A framework for passive acoustic localization and tracking using a wide-baseline array demonstrated with Rice's whales (Balaenoptera ricei)Ludovic Tenorio-Hallé, Kaitlin E Frasier, Héloïse Frouin-Mouy, et al.
Pageof 1