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

412
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....
412
RLC Circuit as a Damped Oscillator01:30

RLC Circuit as a Damped Oscillator

2.4K
An RLC circuit combines a resistor, inductor, and capacitor, connected in a series or parallel combination.
Consider a series RLC circuit. Here, the presence of resistance in the circuit leads to energy loss due to joule heating in the resistance. Therefore, the total electromagnetic energy in the circuit is no longer constant and decreases with time. Since the magnitude of charge, current, and potential difference continuously decreases, their oscillations are said to be damped. This is...
2.4K
Design Example: Underdamped Parallel RLC Circuit01:17

Design Example: Underdamped Parallel RLC Circuit

723
Consider designing an oscillator circuit, a crucial component in various electronic devices and systems. The objective is to create an oscillator circuit with specific characteristics: a damped natural frequency of 4 kHz and a damping factor of 4 radians per second. To accomplish this, a parallel RLC circuit is employed, known for its ability to sustain oscillations at a resonant frequency. In this case, the damping factor is pivotal in achieving the desired performance.
Starting with a fixed...
723
Series RLC Circuit without Source01:21

Series RLC Circuit without Source

3.0K
Within the field of electrical circuits, source-free RLC circuits present an intriguing domain. These circuits comprise a series arrangement of a resistor, inductor, and capacitor, operating independently of external energy sources. Their initiation hinges upon utilizing the initial energy stored within the capacitor and inductor to instigate their functionality. Their mathematical equation, a second-order differential equation, sets these circuits apart. This equation captures how the...
3.0K
Types of Responses of Series RLC Circuits01:11

Types of Responses of Series RLC Circuits

2.3K
A second-order differential equation characterizes a source-free series RLC circuit, marking its distinct mathematical representation. The complete solution of this equation is a blend of two unique solutions, each linked to the circuit's roots expressed in terms of the damping factor and resonant frequency.
2.3K
RLC Series Circuits01:30

RLC Series Circuits

3.9K
An RLC series circuit comprises an inductor, a resistor, and a charged capacitor connected in series. When the circuit is closed, the capacitor begins to discharge through the resistor and inductor by transferring energy from the electric field to the magnetic field. Here, the resistor connected to the circuit causes energy losses; therefore, on the complete discharge of the capacitor, the magnetic field energy acquired by the inductor is less than the original electric field energy of the...
3.9K

You might also read

Related Articles

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

Sort by
Same author

Unpredicted Internal Geometric Reconfiguration of an Enclosed Space Formed by Heteroepitaxy.

Nano letters·2019
Same author

Compact spectrum splitter for laterally arrayed multi-junction concentrator photovoltaic modules.

Optics letters·2019
Same author

Corrigendum: On-chip light sources for silicon photonics.

Light, science & applications·2018
Same author

Loss reduction of silicon-on-insulator waveguides for deep mid-infrared applications.

Optics letters·2017
Same author

Mid-IR supercontinuum generated in low-dispersion Ge-on-Si waveguides pumped by sub-ps pulses.

Optics express·2017
Same author

Athermal and flat-topped silicon Mach-Zehnder filters.

Optics express·2017
Same journal

Gaussian-modulated continuous-variable quantum key distribution over 60 km fiber using an integrated silicon photonic receiver.

Optics letters·2026
Same journal

E2E-OCT: end-to-end joint learning model using optical coherence tomography images for vocal cord leukoplakia diagnosis.

Optics letters·2026
Same journal

Holographic generation of panoramic 3D scenes by concave ellipsoidal mirror reflection.

Optics letters·2026
Same journal

Dual-pilot phase recovery with pair-wise maximum-ratio combining for coherent PONs.

Optics letters·2026
Same journal

Mapping the whispering gallery modes of a CaF<sub>2</sub> disk resonator with half-tapered fibers to estimate the fundamental mode volume.

Optics letters·2026
Same journal

Quantitative estimation of deep-subwavelength scale via dark-field scattering axial energy concentration decay profiles.

Optics letters·2026
See all related articles

Related Experiment Video

Updated: Mar 9, 2026

Fabrication and Characterization of High-Q Silicon Nitride Membrane Resonators
09:46

Fabrication and Characterization of High-Q Silicon Nitride Membrane Resonators

Published on: August 8, 2025

1.3K

Linear-regression-based approach for loss extraction from ring resonators.

Qingzhong Deng, Lu Liu, Xinbai Li

    Optics Letters
    |December 23, 2016
    PubMed
    Summary
    This summary is machine-generated.

    A new linear regression model accurately extracts loss from various ring resonators, outperforming existing methods. This advancement offers a more reliable approach for analyzing optical ring devices.

    More Related Videos

    Fabrication and Characterization of Superconducting Resonators
    10:26

    Fabrication and Characterization of Superconducting Resonators

    Published on: May 21, 2016

    12.0K
    Investigating the Potential of Singly Curved Thin Piezoelectric Transducers for Energy Harvesting and Structural Health Monitoring
    07:02

    Investigating the Potential of Singly Curved Thin Piezoelectric Transducers for Energy Harvesting and Structural Health Monitoring

    Published on: November 14, 2025

    965

    Related Experiment Videos

    Last Updated: Mar 9, 2026

    Fabrication and Characterization of High-Q Silicon Nitride Membrane Resonators
    09:46

    Fabrication and Characterization of High-Q Silicon Nitride Membrane Resonators

    Published on: August 8, 2025

    1.3K
    Fabrication and Characterization of Superconducting Resonators
    10:26

    Fabrication and Characterization of Superconducting Resonators

    Published on: May 21, 2016

    12.0K
    Investigating the Potential of Singly Curved Thin Piezoelectric Transducers for Energy Harvesting and Structural Health Monitoring
    07:02

    Investigating the Potential of Singly Curved Thin Piezoelectric Transducers for Energy Harvesting and Structural Health Monitoring

    Published on: November 14, 2025

    965

    Area of Science:

    • Photonics
    • Optical Engineering
    • Materials Science

    Background:

    • Ring resonators are crucial optical components.
    • Accurate loss extraction is vital for device performance.
    • Existing models have limitations in applicability and reliability.

    Purpose of the Study:

    • To propose and demonstrate a novel linear-regression-based loss-extraction model.
    • To develop a model applicable to all-pass, symmetrically coupled, and asymmetrically coupled add-drop rings.
    • To provide a more reliable method for optical ring resonator analysis.

    Main Methods:

    • Transforming ring resonator transmission spectra into linear relationships without approximation.
    • Developing a linear-regression-based loss-extraction model.
    • Fabricating an all-pass ring resonator for experimental verification.

    Main Results:

    • The proposed model accurately extracts loss from all-pass and coupled add-drop ring resonators.
    • Experimental results validate the model's effectiveness.
    • The new model demonstrates superior reliability compared to previously reported methods.

    Conclusions:

    • The linear-regression-based model offers a robust and accurate solution for loss extraction in various ring resonator configurations.
    • This model enhances the analysis and design of optical ring devices.
    • The findings represent a significant improvement over existing loss-extraction techniques.