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Biomedical signal detection based on fractional fourier transform

  • Harbin Institute of Technology Shenzhen

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

Abstract

As a generalization of classical Fourier transformation (FT), the fractional Fourier transform (FrFT) outperforms many other time frequency analysis techniques with its higher time-frequency resolution, but it is quite new to be employed into the biomedical signal processing. In this paper, the FrFT has been investigated for the application of biomedical signal detection, which shows to be effective to nonstationary weak signal detection in additive white Gaussian noise (AWGN). The second-order fractional FT moments and estimation are used for the multi-component chirps and interference situation. The results indicate the great advantage on biomedical signal detection by FrFT.

Original languageEnglish
Title of host publication5th Int. Conference on Information Technology and Applications in Biomedicine, ITAB 2008 in conjunction with 2nd Int. Symposium and Summer School on Biomedical and Health Engineering, IS3BHE 2008
Pages349-352
Number of pages4
DOIs
StatePublished - 2008
Externally publishedYes
Event5th International Conference on Information Technology and Applications in Biomedicine, ITAB 2008 in conjunction with 2nd International Symposium and Summer School on Biomedical and Health Engineering, IS3BHE 2008 - Shenzhen, China
Duration: 30 May 200831 May 2008

Publication series

Name5th Int. Conference on Information Technology and Applications in Biomedicine, ITAB 2008 in conjunction with 2nd Int. Symposium and Summer School on Biomedical and Health Engineering, IS3BHE 2008

Conference

Conference5th International Conference on Information Technology and Applications in Biomedicine, ITAB 2008 in conjunction with 2nd International Symposium and Summer School on Biomedical and Health Engineering, IS3BHE 2008
Country/TerritoryChina
CityShenzhen
Period30/05/0831/05/08

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