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相关概念视频

Deconvolution01:20

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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.
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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...
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Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
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Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
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Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
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When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
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Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
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基于EMD-SSA-VMD双层分解的陀螺仪去除算法

Chuanqian Lv1,2,3, Yaohong Zhao1,2, Fangzhou Li1,2,3

  • 1Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China.

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概括
此摘要是机器生成的。

一种新的双层噪声抑制方法,EMD-SSA-VMD,有效地减少错误并提高MEMS陀螺仪的精度. 这种先进的技术提高了可靠的工程应用的信号质量.

关键词:
在 MEMS 陀螺仪上使用陀螺仪.经验模式分解分解功率频谱的是什么子搜索算法搜索算法变化模式分解的变化模式分解

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科学领域:

  • 工程 工程师 工程师 工程师
  • 信号处理 信号处理
  • 数据科学数据科学数据科学

背景情况:

  • MEMS陀螺仪容易发生随机错误,影响测量精度.
  • 有效的噪声抑制对于在各种应用中可靠的陀螺仪性能至关重要.

研究的目的:

  • 为MEMS陀螺仪开发和验证一种新的双层噪声抑制方法.
  • 改善信号噪声比 (SNR) 并减少陀螺仪测量中的根平均平方误差 (RMSE).

主要方法:

  • 该EMD-SSA-VMD方法结合了实证模式分解 (EMD),搜索算法 (SSA) 和变化模式分解 (VMD).
  • EMD将信号分解为内在模式函数 (IMFs);用于信号分类和噪声识别的理论 (PSE和SE).
  • SSA优化了VMD参数,以增强信号分解和消除噪音.

主要成果:

  • 与传统方法相比,MATLAB模拟显示了SNR和RMSE的显著改善.
  • 在MEMS陀螺仪数据上的实验验证证证了算法的降噪效果.
  • 无效的信号波形与原始信号非常相匹配,表明了高保真度.

结论:

  • EMD-SSA-VMD算法为MEMS陀螺仪的噪声抑制提供了一个强大的和实用的解决方案.
  • 这种方法提高了测量精度和可靠性,对工程应用非常有价值.
  • 双层方法提供了卓越的降噪能力.