Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jun 22, 2026

Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

Simultaneous all-optical 3R regeneration scheme with improved scalability using TOAD.

Yue-Kai Huang1, Ivan Glesk, Raji Shankar

  • 1Department of Electrical Engineering, Princeton University, Princeton, NJ 08540, USA. yuehuang@princeton.edu

Optics Express
|June 17, 2009
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Self-Templated Hierarchically Porous Graphitic Aerogels for Emi Shielding.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Compact, reconfigurable, and scalable photonic neurons by modulation-and-weighting microring resonators.

eLight·2026
Same author

Neuromorphic photonic computing with an electro-optic analog memory.

Nature communications·2026
Same author

Online training and pruning of multi-wavelength photonic neural networks.

Nanophotonics (Berlin, Germany)·2025
Same author

Emerging integrated photonic technologies leveraging multimaterial integration for AI and datacenter applications [Invited].

Optics express·2025
Same author

Design automation of photonic resonator weights.

Nanophotonics (Berlin, Germany)·2024

A new 3R regeneration system processes multiple wavelength-division-multiplexing (WDM) channels. It shows excellent jitter tolerance and bit error rate improvement for 10 Gb/s signals.

Area of Science:

  • Optical communications
  • Signal processing

Background:

  • Wavelength-division-multiplexing (WDM) systems require efficient signal regeneration.
  • Existing regeneration systems face challenges in processing multiple channels simultaneously.

Purpose of the Study:

  • To propose and evaluate a novel 3R (re-timing, re-amplifying, re-shaping) regeneration system.
  • To assess the system's capability for simultaneous multi-channel processing in WDM networks.

Main Methods:

  • Developing a novel 3R regeneration system architecture.
  • Conducting simulations to analyze re-timing performance.
  • Performing experimental validation using a polarization-scrambling method at 10 Gb/s.

Main Results:

  • Demonstrated simultaneous processing of multiple WDM channels.

More Related Videos

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy (oSLO) and Optical Coherence Tomography (OCT)
12:22

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy (oSLO) and Optical Coherence Tomography (OCT)

Published on: August 4, 2018

Related Experiment Videos

Last Updated: Jun 22, 2026

Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy (oSLO) and Optical Coherence Tomography (OCT)
12:22

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy (oSLO) and Optical Coherence Tomography (OCT)

Published on: August 4, 2018

  • Achieved significant jitter tolerance up to 0.8 UIpp.
  • Showcased bit error rate (BER) improvement and the ability to break the BER floor.

    • Conclusions:

    • The proposed 3R regeneration system effectively handles multiple WDM channels.
    • The system offers robust performance with high jitter tolerance and BER enhancement.
    • This technology is promising for future high-capacity optical networks.