Wavelet transformations for helicopter identification via acoustic signatures
Jeffrey L. Solka, Carey E. Priebe, Halford I. Hayes, George W. Rogers · Defense Technical Information Center (DTIC) · 1994
The ability to classify helicopters based on their acoustic signature has applications to both detection and tracking. The current approach to this problem uses standard signal-processing techniques to extract features based on the fundamental harmonics of the helicopters' blades. This document examines the role that the wavelet transformation might play in this feature extraction process. It addresses ways to use the wavelet transform both to improve the performance of the existing approach and to expand the capabilities of the classification system. Wavelet transformations, Helicopter identification, Signal processing.