Random signal analysis in the linear canonical transform domain

Liyun Xu, Feng Zhang, Mingfeng Lu, Xin Wu

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

2 Citations (Scopus)

Abstract

The linear canonical transform (LCT) is an important tool in the nonstationary signal processing. In this paper, we analyze the random signals in the LCT domain by a more general manner. The linear canonical chirp stationary and LCT power spectral density are first derived by the nature or the physical meaning of them. Then, a new defined Wigner-Ville distribution (WVD) associated with LCT is proposed and simulated. It can be regarded as another representation of the stationarity because it is independent of the instantaneous time.

Original languageEnglish
Title of host publication2016 URSI Asia-Pacific Radio Science Conference, URSI AP-RASC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1862-1865
Number of pages4
ISBN (Electronic)9781467388016
DOIs
Publication statusPublished - 19 Oct 2016
Event2016 URSI Asia-Pacific Radio Science Conference, URSI AP-RASC 2016 - Seoul, Korea, Republic of
Duration: 21 Aug 201625 Aug 2016

Publication series

Name2016 URSI Asia-Pacific Radio Science Conference, URSI AP-RASC 2016

Conference

Conference2016 URSI Asia-Pacific Radio Science Conference, URSI AP-RASC 2016
Country/TerritoryKorea, Republic of
CitySeoul
Period21/08/1625/08/16

Keywords

  • Linear canonical transform
  • Wigner-Ville distribution
  • correlation function
  • power spectral density

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