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 Concept Videos

Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear.
Classification of Systems-I01:26

Classification of Systems-I

Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Feedback control systems01:26

Feedback control systems

Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...

You might also read

Related Articles

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

Sort by
Same author

Inter-organ communication: pathways and targets to cardioprotection and neuro-protection. A report from the 12th Hatter Cardiovascular Institute workshop.

Basic research in cardiology·2024
Same author

Genome-wide mining of diversity and evolutionary signatures revealed selective hotspots in Indian Sahiwal cattle.

Gene·2024
Same author

Stable isotope labeling as a promising tool for rapid drug susceptibility testing in Neisseria gonorrhoeae.

Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]·2023
Same author

Polyacrylonitrile support impregnated with amine-functionalized graphitic carbon nitride/magnetite composite nanofibers towards enhanced arsenic remediation: A mechanistic approach.

Journal of colloid and interface science·2023
Same author

Remote ischaemic conditioning: defining critical criteria for success-report from the 11th Hatter Cardiovascular Workshop.

Basic research in cardiology·2022
Same author

BNT162b2 COVID-19 Vaccine Induced Immune Thrombocytopenic Purpura.

Case reports in medicine·2022

Related Experiment Video

Updated: Jul 7, 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

Describing functions for nonlinear optical systems.

A K Ghosh

    Applied Optics
    |February 12, 2008
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces describing functions for analyzing nonlinear optical systems, similar to transfer functions for linear systems. Two optical systems are proposed to measure the magnitude of these nonlinear describing functions.

    More Related Videos

    Implementation of a Nonlinear Microscope Based on Stimulated Raman Scattering
    09:13

    Implementation of a Nonlinear Microscope Based on Stimulated Raman Scattering

    Published on: July 6, 2019

    Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station
    05:57

    Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station

    Published on: April 1, 2020

    Related Experiment Videos

    Last Updated: Jul 7, 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

    Implementation of a Nonlinear Microscope Based on Stimulated Raman Scattering
    09:13

    Implementation of a Nonlinear Microscope Based on Stimulated Raman Scattering

    Published on: July 6, 2019

    Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station
    05:57

    Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station

    Published on: April 1, 2020

    Area of Science:

    • Nonlinear Optics
    • System Analysis

    Background:

    • Describing functions are valuable for analyzing and designing nonlinear systems.
    • Characterizing linear optical processors uses coherent transfer functions or optical transfer functions.

    Purpose of the Study:

    • To propose the use of describing functions for nonlinear optical processing systems.
    • To adapt the concept of describing functions for optical system analysis.

    Main Methods:

    • Applying the concept of describing functions to nonlinear optical systems.
    • Developing coherent optical systems for measurement.

    Main Results:

    • The describing function can characterize nonlinear optical processors.
    • Two coherent optical systems are suggested for measuring the magnitude of the describing function.

    Conclusions:

    • Describing functions offer a method for analyzing nonlinear optical processing.
    • The proposed optical systems enable the measurement of nonlinear system behavior.