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相关概念视频

Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

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Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
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Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

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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....
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Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

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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,...
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IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

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Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single...
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Power Factor Correction01:20

Power Factor Correction

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The power transmission to a factory involves the transfer of apparent power, a combination of active and reactive power. The power factor measures how effectively electrical power is converted into useful work output. The ratio of the real power (KW) that does the work to the apparent power (KVA) supplied to the circuit.
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Upsampling01:22

Upsampling

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Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
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Updated: Jul 4, 2025

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
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改进了基于3 × 3合器的解调算法,使用代重量化的圆特定配件.

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    此摘要是机器生成的。

    这项研究引入了一种改进的光学传感器解调算法,即使使用不完美的设备,也提高了准确性. 新的方法,代重量化圆特异适配 (IRESF),确保了相位敏感应用程序的可靠性能.

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    科学领域:

    • 光子学和光学传感器
    • 信号处理 信号处理
    • 计量学 计量学 计量学

    背景情况:

    • 使用3x3光学合器的被动解调对于相位敏感光学时域反射计 (φ-OTDR) 和光纤传感器查询至关重要.
    • 现实世界3x3合器中的不对称性显著降低了调节性能.
    • 现有的方法与噪声和信号变化作斗争,限制了它们的适用性.

    研究的目的:

    • 开发一个强大的解调算法,以补偿3x3合器不对称.
    • 为了提高光学传感系统中相位信号提取的准确性和可靠性.
    • 即使在低信号条件下,也能够有效地进行传感器询问.

    主要方法:

    • 提出了一个改进的算法,使用代重量化圆特异拟合 (IRESF).
    • IRESF将代重量与圆特定配件相结合,以减轻噪音并确保圆解决方案.
    • 实现实时1/4圆弧评判模块以适应应用IRESF或使用预设参数.

    主要成果:

    • 拟议的算法证明了对3x3合器不对称性的稳定性,并且在小信号中有效运行.
    • 实现了 -112 dB re rad / √Hz 的最低噪音.
    • 展示了优秀的性能指标:23.15 dB在1kHz的模拟振幅,0.0488%的THD和99.999%的响应线性.

    结论:

    • 基于IRESF的调节算法显著提高了光学传感器系统的精度和稳定性.
    • 它克服了传统方法的局限性,在φ-OTDR和传感器复杂化中提供了广泛的应用前景.
    • 适应性方法确保在各种信号条件下可靠的性能,标志着光学传感技术的重大进步.