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

Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements
14:18

Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements

Published on: February 28, 2016

Post-detection nonlinear distortion for efficient MLSD in optical links.

M Franceschini, G Ferrari, R Raheli

    Optics Express
    |June 24, 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

    Study of neutron efficiency and cross-talk effects through Monte Carlo simulations for a new neutron detector NArCoS.

    Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine·2026
    Same author

    Impact of Sex on Infection Risk in Patients with Systemic Lupus Erythematosus.

    Bioengineering (Basel, Switzerland)·2025
    Same author

    Predictive in silico modeling of emetic potency of liquid cleaning products using an historical in vivo database.

    Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association·2020
    Same author

    Evaluation of historic in vivo data to characterise the emetic properties of liquid cleaning products and provide a framework for the development of an in silico predictive algorithm.

    Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association·2020
    Same author

    A pilot study of soft gel technology: a new vaginal device to improve the symptomatology of vulvovaginal atrophy in post-partum, menopause and in patients with recurrent vulvovaginitis.

    European review for medical and pharmacological sciences·2019
    Same author

    An x-ray fluorescence imaging system for gold nanoparticle detection.

    Physics in medicine and biology·2013
    Same journal

    Denoising algorithm of Φ-OTDR systems based on adaptive fractional wavelet transform denoising.

    Optics express·2026
    Same journal

    Millisecond photon-to-photon latency and high-speed volumetric projection system for optogenetics.

    Optics express·2026
    Same journal

    Polarization-encoded coaxial structured light for high-precision 3D surface profilometry.

    Optics express·2026
    Same journal

    Discrete freeform optical design based on collaborative optimization of point cloud and local normals.

    Optics express·2026
    Same journal

    Ultrafast ghost imaging with 25 GHz speckle switching and wavelength-division multiplexing.

    Optics express·2026
    Same journal

    Atomic vapor cells fabricated by femtosecond laser welding of standard-optical-quality glass.

    Optics express·2026
    See all related articles

    This study introduces a simple yet effective method using nonlinear distortion for maximum likelihood sequence detection (MLSD) receivers in optical communications. Optimized distortion improves performance and simplifies Viterbi algorithm implementation.

    Area of Science:

    • Optical Communications
    • Signal Processing
    • Information Theory

    Background:

    • Direct photo-detection in optical systems often faces challenges with signal distortion.
    • Maximum Likelihood Sequence Detection (MLSD) is crucial for reliable data recovery.
    • Standard MLSD receivers can be complex to implement, especially with Viterbi algorithm.

    Purpose of the Study:

    • To investigate the use of nonlinear distortion of electrical post-detection signals.
    • To design simple and effective MLSD receivers for optical communications.
    • To optimize nonlinear distortion for improved receiver performance and implementation efficiency.

    Main Methods:

    • Utilizing nonlinear distortion of the electrical post-detection signal.
    • Applying standard Euclidean branch metrics within the Viterbi algorithm.

    More Related Videos

    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
    09:43

    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

    Published on: March 20, 2017

    Related Experiment Videos

    Last Updated: Jun 22, 2026

    Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements
    14:18

    Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements

    Published on: February 28, 2016

    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
    09:43

    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

    Published on: March 20, 2017

  • Optimizing the nonlinear characteristic against chromatic dispersion and extinction ratio.

    • Main Results:

    • The proposed nonlinear distortion enables standard Euclidean branch metrics for MLSD.
    • Optimized nonlinear characteristics enhance performance comparable to sophisticated MLSD schemes.
    • The method allows for more efficient Viterbi algorithm implementation.

    Conclusions:

    • Nonlinear distortion is a viable technique for designing efficient MLSD receivers in optical communications.
    • Optimized nonlinear distortion offers a practical approach to mitigate system impairments like chromatic dispersion.
    • This technique simplifies MLSD implementation without sacrificing performance.