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Related Concept Videos

State Space Representation01:27

State Space Representation

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The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
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Space Trusses01:25

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A space truss is a three-dimensional counterpart of a planar truss. These structures consist of members connected at their ends, often utilizing ball-and-socket joints to create a stable and versatile framework. The space truss is widely used in various construction projects due to its adaptability and capacity to withstand complex loads.
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Classification of Skeletal Muscle Fibers01:48

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Skeletal muscles continuously produce ATP to provide the energy that enables muscle contractions. Skeletal muscle fibers can be categorized into three types based on differences in their contraction speed and how they produce ATP, as well as physical differences related to these factors. Most human muscles contain all three muscle fiber types, albeit in varying proportions.
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Transfer Function to State Space01:23

Transfer Function to State Space

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State-space representation is a powerful tool for simulating physical systems on digital computers, necessitating the conversion of the transfer function into state-space form. Consider an nth-order linear differential equation with constant coefficients, like those encountered in an RLC circuit. The state variables are selected as the output and its n−1 derivatives. Differentiating these variables and substituting them back into the original equation produces the state equations.
In an RLC...
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State Space to Transfer Function01:21

State Space to Transfer Function

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The conversion of state-space representation to a transfer function is a fundamental process in system analysis. It provides a method for transitioning from a time-domain description to a frequency-domain representation, which is crucial for simplifying the analysis and design of control systems.
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Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

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The underlying principle of Raman spectroscopy is based on the interaction between light and matter, specifically molecules' inelastic scattering of photons. When a monochromatic beam of light, typically from a laser source, interacts with a sample, most scattered light has the same frequency as the incident light. This is known as Rayleigh scattering.
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A Multimodal Wide-Field Fourier-Transform Raman Microscope
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Multiwavelength Raman fiber laser with a continuously-tunable spacing.

Xinyong Dong, P Shum, N Q Ngo

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    Summary
    This summary is machine-generated.

    This study demonstrates a novel tunable multiwavelength Raman fiber laser. It offers independent adjustment of channel number and spacing for versatile laser operations.

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    Area of Science:

    • * Photonics and Laser Technology
    • * Fiber Optics and Nonlinear Optics

    Background:

    • * Fiber lasers are crucial for various applications, but tunable multiwavelength operation remains a challenge.
    • * Existing multiwavelength fiber lasers often lack independent control over channel number and spacing.

    Purpose of the Study:

    • * To propose and demonstrate a novel spacing-tunable multiwavelength Raman fiber laser.
    • * To achieve independent adjustment of channel number and spectral spacing.

    Main Methods:

    • * Design of a free-spectral-range (FSR)-tunable comb filter using a superimposed chirped-fiber Bragg grating (CFBG).
    • * Construction of a linear cavity incorporating a bandwidth-tunable CFBG reflector, a highly-nonlinear fiber for Raman gain, and an optical circulator-based loop mirror.

    Main Results:

    • * Achieved multiwavelength laser operation with tunable channel spacing from 0.3 to 0.6 nm.
    • * Demonstrated independent adjustment of the number of lasing channels from 2 to 10.

    Conclusions:

    • * The proposed laser architecture provides flexible control over multiwavelength fiber laser parameters.
    • * This advancement enables tailored laser outputs for diverse photonic applications.