Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Femtosecond accumulated photon echo in Er-doped fibers

Not Accessible

Your library or personal account may give you access

Abstract

We report the observation of accumulated photon echo in Er-doped fibers. We also demonstrate time reversal and autoconvolution of femtosecond pulses, which suggest that Er-doped fibers are a promising medium for femtosecond time-domain optical signal processing.

© 1991 Optical Society of America

Full Article  |  PDF Article
More Like This
Fluorescence detection of femtosecond accumulated photon echo

K. Uchikawa, H. Ohsawa, T. Suga, and S. Saikan
Opt. Lett. 16(1) 13-14 (1991)

Superluminescent diode excitation of femtosecond accumulated photon echoes

Ryuzi Yano, Sadao Uemura, Hiroki Nakatsuka, and Masashi Okada
J. Opt. Soc. Am. B 8(5) 1093-1097 (1991)

Terabit speed retrieval of femtosecond accumulated photon echoes

I. Zeylikovich, G. Bai, A. Gorokhovsky, and R. R. Alfano
Opt. Lett. 20(7) 749-751 (1995)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (4)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (1)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.