Evolution of Amplitude Fluctuation in Fractional Temporal Talbot Effect
Temporal Talbot phenomena occur when a periodic optical pulse train propagates through a dispersive medium with a proper dispersion amount, which includes integer and fractional orders depending on the dispersion amount. The fractional temporal Talbot (FTT) effect has attracted great interest becaus...
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doaj-60ca2950ae7a419b8cef2d0bfdbf31242021-03-29T23:22:21ZengIEEEIEEE Access2169-35362019-01-017861778618310.1109/ACCESS.2019.29253678747345Evolution of Amplitude Fluctuation in Fractional Temporal Talbot EffectHao Chi0https://orcid.org/0000-0001-5913-2794Junna Xing1Shuna Yang2Tao Jin3School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, ChinaCollege of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, ChinaSchool of Communication Engineering, Hangzhou Dianzi University, Hangzhou, ChinaCollege of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, ChinaTemporal Talbot phenomena occur when a periodic optical pulse train propagates through a dispersive medium with a proper dispersion amount, which includes integer and fractional orders depending on the dispersion amount. The fractional temporal Talbot (FTT) effect has attracted great interest because of its potentials in repetition rate multiplication of optical pulse train and passive amplification of short pulses. In this paper, we investigate the evolution of amplitude fluctuation in FTT systems from the viewpoint of the frequency-dependent fading of pulse train envelope. It is found that the envelope frequency response of FTT is different from that of integer orders since there is waveform-to-waveform phase profile in the output pulse train in FTT systems. The noise reduction phenomenon in FTT systems is analyzed based on the derived frequency response. A closed-form expression of the noise reduction ratio is derived for the first time based on the analysis of the noise power spectral density. With the given model, we are able to predict the fluctuation suppression effect in FTT systems more precisely.https://ieeexplore.ieee.org/document/8747345/Talbot phenomenontemporal Talbot effectpulse repetition rate multiplication |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hao Chi Junna Xing Shuna Yang Tao Jin |
spellingShingle |
Hao Chi Junna Xing Shuna Yang Tao Jin Evolution of Amplitude Fluctuation in Fractional Temporal Talbot Effect IEEE Access Talbot phenomenon temporal Talbot effect pulse repetition rate multiplication |
author_facet |
Hao Chi Junna Xing Shuna Yang Tao Jin |
author_sort |
Hao Chi |
title |
Evolution of Amplitude Fluctuation in Fractional Temporal Talbot Effect |
title_short |
Evolution of Amplitude Fluctuation in Fractional Temporal Talbot Effect |
title_full |
Evolution of Amplitude Fluctuation in Fractional Temporal Talbot Effect |
title_fullStr |
Evolution of Amplitude Fluctuation in Fractional Temporal Talbot Effect |
title_full_unstemmed |
Evolution of Amplitude Fluctuation in Fractional Temporal Talbot Effect |
title_sort |
evolution of amplitude fluctuation in fractional temporal talbot effect |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2019-01-01 |
description |
Temporal Talbot phenomena occur when a periodic optical pulse train propagates through a dispersive medium with a proper dispersion amount, which includes integer and fractional orders depending on the dispersion amount. The fractional temporal Talbot (FTT) effect has attracted great interest because of its potentials in repetition rate multiplication of optical pulse train and passive amplification of short pulses. In this paper, we investigate the evolution of amplitude fluctuation in FTT systems from the viewpoint of the frequency-dependent fading of pulse train envelope. It is found that the envelope frequency response of FTT is different from that of integer orders since there is waveform-to-waveform phase profile in the output pulse train in FTT systems. The noise reduction phenomenon in FTT systems is analyzed based on the derived frequency response. A closed-form expression of the noise reduction ratio is derived for the first time based on the analysis of the noise power spectral density. With the given model, we are able to predict the fluctuation suppression effect in FTT systems more precisely. |
topic |
Talbot phenomenon temporal Talbot effect pulse repetition rate multiplication |
url |
https://ieeexplore.ieee.org/document/8747345/ |
work_keys_str_mv |
AT haochi evolutionofamplitudefluctuationinfractionaltemporaltalboteffect AT junnaxing evolutionofamplitudefluctuationinfractionaltemporaltalboteffect AT shunayang evolutionofamplitudefluctuationinfractionaltemporaltalboteffect AT taojin evolutionofamplitudefluctuationinfractionaltemporaltalboteffect |
_version_ |
1724189646459502592 |