Feature extraction from time domain acoustic signatures of weapons systems fire

Christine Yang; Geoffrey H. Goldman

doi:10.1117/12.2070455

4 June 2014 Feature extraction from time domain acoustic signatures of weapons systems fire

Christine Yang, Geoffrey H. Goldman

Proceedings Volume 9082, Active and Passive Signatures V; 90820E (2014) https://doi.org/10.1117/12.2070455
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

Abstract

The U.S. Army is interested in developing algorithms to classify weapons systems fire based on their acoustic signatures. To support this effort, an algorithm was developed to extract features from acoustic signatures of weapons systems fire and applied to over 1300 signatures. The algorithm filtered the data using standard techniques then estimated the amplitude and time of the first five peaks and troughs and the location of the zero crossing in the waveform. The results were stored in Excel spreadsheets. The results are being used to develop and test acoustic classifier algorithms.

Citation Download Citation

Christine Yang and Geoffrey H. Goldman "Feature extraction from time domain acoustic signatures of weapons systems fire", Proc. SPIE 9082, Active and Passive Signatures V, 90820E (4 June 2014); https://doi.org/10.1117/12.2070455

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