Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao IEEE Transactions on...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
IEEE Transactions on Instrumentation and Measurement
Article . 2002 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
https://doi.org/10.1109/imtc.2...
Article . 2002 . Peer-reviewed
Data sources: Crossref
DBLP
Article . 2020
Data sources: DBLP
versions View all 3 versions
addClaim

Crest factor minimization in the frequency domain

Authors: Michael Solomou; Ceri Evans; David Rees;

Crest factor minimization in the frequency domain

Abstract

This paper examines the minimization of the signal crest factor using a frequency-domain method. This method is based on the observation that low crest factor signals possess properties that reduce the effect of system nonlinearities. The main idea of this method is that instead of setting the signal crest factor as the cost function to be minimized, multisine signals are designed with their harmonic phases selected to minimize the distortion introduced by a cubic nonlinearity on the measurement of a frequency response function. The resulting signals are compared with other types of low crest factor signals. It is found that the method does not produce the lowest possible crest factors but that the signals do minimize the nonlinear distortion introduced by a cubic nonlinearity, while possessing a low crest factor. The signals are thus termed minimum distortion multisines.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    16
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Average
Top 10%
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!