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Spectral Analysis Methods for Periodic and Non-Periodic Signals

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Identification of Dynamic Systems

Abstract

Calculating the spectrum of a signal is important for many applications. To be able to automatically calculate the spectrum and also treat signals of arbitrary shape, there is a special interest in methods for numerical determination of the Fourier transform. These methods are typically implemented on digital computers, which makes it necessary to sample and store the signal before it is transformed. This brings along special ramifications that are discussed in later sections of this chapter. As the data sequences can be quite long, one is also especially interested in computationally efficient implementations of the Fourier transform on digital computers.

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Authors and Affiliations

  1. Technische Universität Darmstadt, Institut für Automatisierungstechnik, Landgraf-Georg-Straße 4, 64283, Darmstadt, Germany

    Prof. Dr. -Ing. Dr. h.c. Rolf Isermann & Dr. -Ing. Marco Münchhof M.S./SUNY

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  1. Prof. Dr. -Ing. Dr. h.c. Rolf Isermann
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  2. Dr. -Ing. Marco Münchhof M.S./SUNY
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Correspondence to Rolf Isermann .

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Isermann, R., Münchhof, M. (2011). Spectral Analysis Methods for Periodic and Non-Periodic Signals. In: Identification of Dynamic Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78879-9_3

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  • DOI: https://doi.org/10.1007/978-3-540-78879-9_3

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78878-2

  • Online ISBN: 978-3-540-78879-9

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