Related Experiment Video

Updated: Feb 7, 2026

Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

9.7K

Spatial resolution improvement of single-shot digital optical frequency comb-based Brillouin optical time domain

Zihao Liang, Jingshun Pan, Shecheng Gao

    Optics Letters
    |August 2, 2018
    PubMed

    More Related Videos

    Three-dimensional Optical-resolution Photoacoustic Microscopy08:31

    Three-dimensional Optical-resolution Photoacoustic Microscopy

    Published on: May 3, 2011

    18.9K
    Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution08:48

    Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution

    Published on: September 5, 2012

    12.4K

    Related Concept Videos

    Time and frequency -Domain Interpretation of PI Control01:27

    Time and frequency -Domain Interpretation of PI Control

    Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
    Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...
    436
    Time and frequency -Domain Interpretation of Phase-lead Control01:24

    Time and frequency -Domain Interpretation of Phase-lead Control

    Phase-lead controllers are commonly used in various control systems to enhance response speed and stability. Adjusting the brightness on a television screen offers a practical example of phase-lead control. When contrast is enhanced, a phase-lead controller is employed. Mathematically, phase-lead control is identified when the first parameter is smaller than the second.
    The design of phase-lead control involves the strategic placement of poles and zeros to balance steady-state error and system...
    477
    Time and frequency -Domain Interpretation of Phase-lag Control01:21

    Time and frequency -Domain Interpretation of Phase-lag Control

    Phase-lag controllers are widely used in control systems to improve stability and reduce steady-state errors. A dimmer switch controlling the brightness of a light bulb serves as a practical example of phase-lag control, gradually adjusting the bulb's brightness. Mathematically, phase-lag control or low-pass filtering is represented when the factor 'a' is less than 1.
    Phase-lag controllers do not place a pole at zero, but instead influence the steady-state error by amplifying any...
    422
    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....
    383
    Frequency-Domain Interpretation of PD Control01:24

    Frequency-Domain Interpretation of PD Control

    Proportional-Derivative (PD) controllers are widely used in fan control systems to improve stability and performance. A fan control system can be effectively represented using a Bode plot to illustrate the impact of a PD controller through its transfer function. The Bode plot visually conveys how PD control modifies the fan's response across various frequencies, providing a frequency domain interpretation of the controller's behavior.
    The proportional control gain, combined with the...
    392
    Linear Approximation in Time Domain01:21

    Linear Approximation in Time Domain

    Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
    For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
    376