Fractional Fourier transform estimation of simple randomly sampled signals

Liyun Xu, Feng Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Random sampling as a special kind of nonuniform sampling has been used as a digital alias-free signal processing method in analog-to-digital conversion. This paper presents the fractional Fourier transform estimation of nonstationary signals based on the simple random sampling. The spectrum estimation is proved to be unbiased. The variance of it is calculated to show the estimation effect. The effects of sampling jitters and observation errors on performance of the fractional spectrum estimation are analyzed. Among them, the sampling jitters introduce bias to the estimation. The bias can be compensated by the new defined fractional characteristic function. All of the analysis results are simulated and verified in the last numerical experiments.

Original languageEnglish
Title of host publicationICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509027088
DOIs
Publication statusPublished - 22 Nov 2016
Event2016 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2016 - Hong Kong, China
Duration: 5 Aug 20168 Aug 2016

Publication series

NameICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings

Conference

Conference2016 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2016
Country/TerritoryChina
CityHong Kong
Period5/08/168/08/16

Keywords

  • Fractional Fourier transform
  • random sampling
  • sampling jitters
  • spectrum estimation
  • statistical analysis

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