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An Efficient Approach to Extrapolation and Spectral Analysis of Discrete Signals

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ASST ’90 7. Aachener Symposium für Signaltheorie

Part of the book series: Informatik-Fachberichte ((INFORMATIK,volume 253))

Zusammenfassung

The necessity for extrapolating a discrete signal f(n), which is only known inside a limited segment w(n) arises in a number of applications. For instance, spectral analysis of a windowed time signal g(n) = w(n) • f(n) requires removing the blurring influence of the window spectrum on the signal spectrum, corresponding to an extrapolation in the time domain. In segment oriented image processing, we deal with 2D-signals (’textures’) which are given inside an arbitrarily shaped spatial window (’segment’). The Fourier spectrum of these signals could provide features for texture classification, segmentation, or even be exploited for segment oriented image coding [1], Here, too, good results can only be expected if the effects of the window spectrum are eliminated.

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Literatur

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© 1990 Springer-Verlag Berlin Heidelberg

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Sottek, R., Illgner, K., Aach, T. (1990). An Efficient Approach to Extrapolation and Spectral Analysis of Discrete Signals. In: Ameling, W. (eds) ASST ’90 7. Aachener Symposium für Signaltheorie. Informatik-Fachberichte, vol 253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-76062-4_17

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  • DOI: https://doi.org/10.1007/978-3-642-76062-4_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-53124-1

  • Online ISBN: 978-3-642-76062-4

  • eBook Packages: Springer Book Archive

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