|START||NEW VOL 20||SEARCH||STATISTICS||PAS - GDANSK DIVISION|
pp. 229-236, vol. 14, 2011
Institute of Oceanology, Polish Academy of Sciences, Sopot, Poland
Key words: spectral characteristic; classification by use of the Partitioning Around Medoids; wind; rain; still; ships
Abstract: This paper presents the analysis of noise data recorded by the Autonomous Hydroacoustic System (AHS) deployed in the Spitsbergen fjord close to the little auks colony. It focuses on the sounds generated by these small Arctic birds diving for food. The noise signals from the frequency band 0.4-12.5 kHz are used to find spectral characteristics of diving birds. Different statistical methods of data mining and dimension reduction are applied to discern bird noise from the other sources (ships, rain, wind, etc.). Bird’s noise signal is characterised by a narrow intensive peaks with a maximum at 1-4 kHz.
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