A new method of anti-reverberation via fractional fourier transform

Deng Bing*, Too Ran, Qi Lin, Liu Feng

*Corresponding author for this work

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

Abstract

A new method of anti-reverberation based on the FRFT is presented. With actual reverberation data and the LFM pulse for seperation, good results are obtained: the reverberation is removed largely; and better performance relatively under lower SRR. Based on theorical analyses and simulation results, two schemes for detecting targets are provided.

Original languageEnglish
Title of host publicationProceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Pages1379-1381
Number of pages3
DOIs
Publication statusPublished - 2003
Event2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 - Nanjing, China
Duration: 14 Dec 200317 Dec 2003

Publication series

NameProceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Volume2

Conference

Conference2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Country/TerritoryChina
CityNanjing
Period14/12/0317/12/03

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