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2012 | 121 | 1A | A-179-A-182
Article title

Detection and Classification of Selected Noise Sources in Long-Term Acoustic Climate Monitoring

Content
Title variants
Languages of publication
EN
Abstracts
EN
Continuous acoustical climate monitoring of the environment raises several problems related to large quantities of the recorded data, which often represents information unrelated to the studied noise source. Manual verification of such data is time-consuming and costly. Therefore, developing effective methods for automatic identification of transport noise sources becomes an important task for the proper determination of noise levels. This paper presents a concept of such method of automatic detection and classification of the noise sources from the air and railway transportation in the acoustic environmental monitoring.
Keywords
EN
Contributors
  • AGH University of Science and Technology, Faculty of Mechanical Engineering and Robotics Department of Mechanics and Vibroacoustics, al. A. Mickiewicza 30, 30-059 Krakow, Poland
author
  • AGH University of Science and Technology, Faculty of Mechanical Engineering and Robotics Department of Mechanics and Vibroacoustics, al. A. Mickiewicza 30, 30-059 Krakow, Poland
References
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Document Type
Publication order reference
YADDA identifier
bwmeta1.element.bwnjournal-article-appv121n1a38kz
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