Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Mahdi H. Al-Badrawi"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract Tracking species with expanding ranges is crucial to conservation efforts and some typically temperate marine species are spreading northward into the Arctic Ocean. Risso’s (Gg) and Pacific white-sided (Lo) dolphins have been documented sp
Externí odkaz:
https://doaj.org/article/b0e217ccb365438185cca7cf58324bd8
Autor:
Mahdi H. Al-Badrawi, Kevin D. Heaney
Publikováno v:
The Journal of the Acoustical Society of America. 152:A290-A291
Gaining more knowledge about the variations in the ambient ocean soundscape plays a critical role in assessing the human impact (anthropogenic noise pollution) on marine species’ behavior and habitat choices. Accessing historical recordings is impo
Climate change affects the distributions of marine mammals1, and some temperate water species are spreading northward into the Arctic Ocean2, 3. Tracking expanding species is crucial to conservation efforts and using automatic detectors and classifie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76bec364f3793cba43bbde9345abea6f
https://doi.org/10.21203/rs.3.rs-831254/v1
https://doi.org/10.21203/rs.3.rs-831254/v1
Publikováno v:
IEEE Signal Processing Letters. 26:1232-1236
Empirical mode decomposition (EMD) offers a data-driven approach for signal filtering. In this letter, a new de-noising scheme is proposed, which estimates a pertinent probability distribution parameter with the Newton-Raphson root-finding method. Th
Publikováno v:
The Journal of the Acoustical Society of America. 148(4)
A previous analysis of 1977 passive acoustic recordings in the Indian Ocean focused on sound pressure levels (SPLs) and showed that SPLs were slightly depth dependent and highly influenced by shipping activities [Wagstaff and Aitkenhead, IEEE J. Ocea
Autor:
Kerri D. Seger, Anthony P. Lyons, Nicholas J. Kirsch, Mahdi H. Al-Badrawi, Jennifer L. Miksis-Olds
Publikováno v:
The Journal of the Acoustical Society of America. 144:3181-3190
Detecting marine mammal vocalizations in underwater acoustic environments and classifying them to species level is typically an arduous manual analysis task for skilled bioacousticians. In recent years, machine learning and other automated algorithms
Publikováno v:
The Journal of the Acoustical Society of America. 150:A158-A158
Publikováno v:
IEEE Signal Processing Letters. 24:1088-1092
In this letter, an algorithm is proposed to blindly estimate the noise power embedded in a received signal and use the knowledge of the noise power to upgrade semiblind spectrum sensors to blind sensors. The proposed noise estimator is based on a rel
Publikováno v:
IEEE Signal Processing Letters. 23:924-928
Empirical mode decomposition is a nonparametric adaptive tool that decomposes signals into a set of zero-mean modes called intrinsic mode functions (IMFs) that can be used to denoise a signal by selecting the relevant (noise-free) modes. In this pape
Publikováno v:
The Journal of the Acoustical Society of America. 148:2766-2766
Risso's and Pacific white-sided dolphins occupy similar habitats and have been acoustically documented in northward habitat expansion above the Aleutian archipelago. Therefore, being able to differentiate between the two, either more easily during ma