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関連する概念動画

Double Resonance Techniques: Overview01:12

Double Resonance Techniques: Overview

792
Double resonance techniques in Nuclear Magnetic Resonance (NMR) spectroscopy involve the simultaneous application of two different frequencies or radiofrequency pulses to manipulate and observe two distinct nuclear spins. One important application of double resonance is spin decoupling, which selectively suppresses coupling with one type of nucleus while observing the NMR signal from another nucleus, simplifying the spectrum and enhancing resolution.
Spin decoupling is usually achieved by...
792
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

396
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....
396
Gyroscope: Precession01:24

Gyroscope: Precession

5.6K
Precession can be demonstrated effectively through a spinning top. If a spinning top is placed on a flat surface near the surface of the Earth at a vertical angle and is not spinning, it will fall over due to the force of gravity producing a torque acting on its center of mass. However, if the top is spinning on its axis, it precesses about the vertical direction, rather than topple over due to this torque. Precessional motion is a combination of a steady circular motion of the axis and the...
5.6K
Gyroscope01:02

Gyroscope

4.3K
A gyroscope is defined as a spinning disk in which the axis of rotation is free to assume any orientation. When spinning, the orientation of the spin axis is unaffected by the orientation of the body that encloses it. The body or vehicle enclosing the gyroscope can be moved from place to place, while the orientation of the spin axis remains the same. This makes gyroscopes very useful in navigation, especially where magnetic compasses cannot be used, such as in crewed and crewless spacecraft,...
4.3K
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

379
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,...
379
Deconvolution01:20

Deconvolution

623
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
623

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関連する実験動画

Updated: Feb 21, 2026

Fabrication and Characterization of High-Q Silicon Nitride Membrane Resonators
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FFT-ディープラーニングによる,共振集積光学ギロスコープのデノージング方法.

Chenxi Sun, Yan Qi, Boxia Yan

    Optics express
    |February 20, 2026
    PubMed
    まとめ
    この要約は機械生成です。

    この研究は,共振集積光学ギロスコップのノイズ化フレームワークを新たに導入し,ノイズを大幅に削減します. 新しい方法は,高精度のアプリケーションでは,角的ランダムウォークとバイアスの不安定性を約50%改善します.

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    関連する実験動画

    Last Updated: Feb 21, 2026

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    科学分野:

    • 光学工学は,光学工学である.
    • シグナル処理 信号処理
    • 機械学習 (Machine Learning) とは,機械学習 (Machine Learning) について学ぶことです.

    背景:

    • 共鳴集積光学回転鏡 (RIOGs) の騒音は精度を制限する.
    • 効果的な騒音削減技術の開発は,高度なアプリケーションにとって極めて重要です.

    研究 の 目的:

    • 物理ベースのアプローチとデータベースのアプローチを組み合わせたカスケードデノイジングフレームワークを提示する.
    • 超高精度のために,RIOGのノイズを大幅に抑制します.

    主な方法:

    • ハイブリッド・デノイージング・フレームワークを実装: 急速フーリエ変換 (FFT) カムフィルタリングとコンボリューションニューラルネットワーク (CNN) - 長期短期記憶 (LSTM) ネットワーク.
    • CNN-LSTMネットワークは,特性の抽出のために1Dコンボリュアル層,時間的依存のためにLSTMを使用しました.
    • 1kHzでサンプリングされた2,000,000ポイントのフィールドデータに適用されます.

    主要な成果:

    • 角的ランダムウォーク (ARW) を0.28°/hまで減少させました.
    • バイアスの不安定性が2.52°/hまで減少した.
    • 以前の方法と比較して,ARWとバイアスの不安定性の両方で約50%の改善を示しました.

    結論:

    • 提案されたカスケード・フレームワークは,ジャイロスクープによる騒音抑制の有意な進歩をもたらします.
    • 周波数領域の物理的制約と時空的ディープラーニングの組み合わせは,回転鏡信号処理の強い一般化を示しています.