IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-031-34099-4_24.html
   My bibliography  Save this book chapter

On the Influence of the Signal to Noise Ratio on the Reconstruction of the Non-linear Transfer Function in Signal Amplification

In: Integral Methods in Science and Engineering

Author

Listed:
  • J. Schmith

    (University of the Vale do Rio dos Sinos)

  • A. Schuck

    (Federal University of Rio Grande do Sul)

  • B. E. J. Bodmann

    (Federal University of Rio Grande do Sul)

  • P. J. Harris

    (University of Brighton)

Abstract

In the present contribution we analyse the influence of the signal to noise ratio in the reconstruction of the non-linear transfer function for digital amplifier simulations and signal modulation in audio engineering applications. To this end a known response to a given input signal is combined to generate a Lissajous like figure in the complex plane, where the real part is the input and the imaginary part the output signal. In order to render these experiments more realistic we superimpose white noise with varying intensity to the input signal and use a modified version of our recently published approach to reconstruct the non-linear transfer function of a Wiener-Hammerstein system. For a given non-linear transfer function we show how signal to noise ratio and the number of closed loops in the complex Lissajous plane allowed to extract a fairly good similarity between the simulated and the original output signals. Finally, possible future developments and improvements of the proposed approach are presented.

Suggested Citation

  • J. Schmith & A. Schuck & B. E. J. Bodmann & P. J. Harris, 2023. "On the Influence of the Signal to Noise Ratio on the Reconstruction of the Non-linear Transfer Function in Signal Amplification," Springer Books, in: Christian Constanda & Bardo E.J. Bodmann & Paul J. Harris (ed.), Integral Methods in Science and Engineering, chapter 0, pages 299-310, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-34099-4_24
    DOI: 10.1007/978-3-031-34099-4_24
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-031-34099-4_24. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.