A technique is presented for feature extraction of a waveform y based on its Tauberian approximation, that is on the approximation of y by a linear combination of appropriately delayed versions of a single basis function x, i.e. y(t)=sigmai=1Maix(t - taui), where the coefficients ai and the delays taui are adjustable parameters. Considerations in the choice or design of the basis function x are given. The parameters ai and taui, i=1,...,M, are retrieved by application of a suitably adapted version of Prony's method to the Fourier transform of the above approximation of y. A subset of the parameters ai and taui, i=1,...,M, is used to construct the feature vector, the value of which can be used in a classification algorithm. Application of this technique to the classification of wide bandwidth radar return signatures is presented. Computer simulations proved successful and are also discussed.
Waveform feature extraction based on Tauberian approximation
Wellenform-Eigenschaftsbestimmung mit Hilfe der Approximation von Transer
IEEE Transactions on Pattern Analysis and Machine Intelligence ; PAMI-4 , 2 ; 105-116
1982
12 Seiten, 14 Quellen
Article (Journal)
English
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