The Aircraft Sonic Feature Extraction Based on the Daubechies(dbN)

This paper mainly based on Daubechies(dbN)the wavelet analysis of aircraft audio feature extraction. The aircraft passive sonic detects and identification technology as a traditional means of reconnaissance is an important component of airborne early-warning system. Based on the two kinds of battlefields targets about the audio spectrum characteristics , using the characteristic pick-up arithmetic of the wavelet decomposition measure detail signal domain energy which is based on wavelet theory, and using this algorithm obtains lower-dimensional feature vector.