An Empirical Mode Decomposition-based detection and classification approach for marine mammal vocal signals | Zendy

Kerri D. Seger | Zendy; Mahdi H. Al-Badrawi | Zendy; Jennifer MiksisOlds | Zendy; Nicholas J. Kirsch | Zendy; Anthony P. Lyons | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

An Empirical Mode Decomposition-based detection and classification approach for marine mammal vocal signals

Author(s) -

Kerri D. Seger,

Mahdi H. Al-Badrawi,

Jennifer MiksisOlds,

Nicholas J. Kirsch,

Anthony P. Lyons

Publication year - 2018

Publication title -

the journal of the acoustical society of america

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.619

H-Index - 187

eISSN - 1520-8524

pISSN - 0001-4966

DOI - 10.1121/1.5067389

Subject(s) - hilbert–huang transform , computer science , a priori and a posteriori , underwater , process (computing) , bioacoustics , artificial intelligence , pattern recognition (psychology) , decomposition , marine mammal , speech recognition , signal processing , signal (programming language) , computer vision , geology , digital signal processing , ecology , telecommunications , philosophy , oceanography , epistemology , filter (signal processing) , computer hardware , biology , programming language , operating system

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research