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.


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    Title :

    Waveform feature extraction based on Tauberian approximation


    Additional title:

    Wellenform-Eigenschaftsbestimmung mit Hilfe der Approximation von Transer


    Contributors:


    Publication date :

    1982


    Size :

    12 Seiten, 14 Quellen



    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English