A fast algorithm for fractional fourier transform with zooming-in ability

Xinghao Zhao*, Ran Tao, Yue Wang

*Corresponding author for this work

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

4 Citations (Scopus)

Abstract

In this paper, we present a novel algorithm for FRFT with zooming-in ability, which is preferable to previous algorithms because it can freely choose computational resolution and zoom in on any interested portion of the fractional speatra, meanwhile, retains the advantage of the Ozaktas algorithm in computational speed. Its advantages in scrutinizing the fine structure of the partial spectra and improving estimation accuracy of chirp central frequency are illustrated by an application example.

Original languageEnglish
Title of host publication2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008
DOIs
Publication statusPublished - 2008
Event2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008 - Dalian, China
Duration: 12 Oct 200814 Oct 2008

Publication series

Name2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008

Conference

Conference2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008
Country/TerritoryChina
CityDalian
Period12/10/0814/10/08

Keywords

  • FRFT
  • Fast algorithm
  • Partial spectra
  • Zoom in

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