112 - Automatic understanding method of signals applied to identification of acoustic patterns
Wszolek W., Tadeusiewicz R.
Abstract
Combining the noise monitoring stations with the radar stations in the current monitoring systems assists the recognition process of acoustic events related to the airports operations. Due to the difficulties occurring in this communication system it would be highly advantageous to equip the monitoring stations with tools allowing autonomous recognition and classification of the monitored noise sources. The idea of application of advanced artificial intelligence methods and techniques as analytical tools at monitoring the noises caused by air traffic – is presented in the paper. The proposition stipulates the replacement of the known procedure of acoustic signal recognition by more advanced method of signal analysis based on comparison of features extracted from the signal during its conversion with the features expected due to the appropriate knowledge collected in the system.
Citation
Wszolek W.; Tadeusiewicz R.: Automatic understanding method of signals applied to identification of acoustic patterns, CD-ROM Proceedings of the Thirtheenth International Congress on Sound and Vibration (ICSV13), July 2-6, 2006, Vienna, Austria, Eds.: Eberhardsteiner, J.; Mang, H.A.; Waubke, H., Publisher: Vienna University of Technology, Austria, ISBN: 3-9501554-5-7
|
