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相关概念视频

Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

68
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,...
68
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

87
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....
87
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

390
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.
Here, in order to determine the magnitude of velocity and acceleration for point...
390
Area Computation by the Alternative Coordinate Method01:24

Area Computation by the Alternative Coordinate Method

49
The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
49
Angle of Twist: Problem Solving01:13

Angle of Twist: Problem Solving

263
An electric motor applies a torque of 700 N·m to an aluminum shaft, triggering a stable rotation. Two pulleys, B and C, are subjected to torques of 300 N·m and 400 N·m, respectively. The modulus of rigidity is provided as 25 GPa. With the knowledge of the length and diameter of each segment, the twist angle between the two pulleys can be computed. First, a section cut is made between pulleys B and C, and the cut cross-section is analyzed using a free-body diagram. Given that the...
263
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

448
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.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
448

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相关实验视频

Updated: Jun 10, 2025

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station
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一个改进的展开的coprime线性数组设计,用于DOA估计,没有相位模两可.

Pan Gong1, Xiaofei Zhang2

  • 1College of Electronic Information and Integrated Circuits, Nanjing Vocational University of Industry Technology, Nanjing 211106, China.

Sensors (Basel, Switzerland)
|October 16, 2024
PubMed
概括

这项研究引入了一种改进的展开 coprime 线性数组 (IUCLA),通过解决相模糊性来准确估计到达方向 (DOA). 这种新的方法提高了目标检测,并减少了传感器阵列系统的计算复杂性.

关键词:
克莱默拉奥 (CRB) 的约束到达方向 (DOA) 估计方向改进的展开 coprime 线性数组 (IUCLA)多个信号分类 (MUSIC)稀疏数组数组是一个稀疏的数组.

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Measurement of X-ray Beam Coherence along Multiple Directions Using 2-D Checkerboard Phase Grating
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相关实验视频

Last Updated: Jun 10, 2025

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科学领域:

  • 信号处理 信号处理
  • 阵列信号处理 阵列信号处理
  • 电磁学 电磁学 电磁学 电磁学

背景情况:

  • 传统的副数组在到达方向 (DOA) 估计方面面临限制,原因是子数组的方向向量冲突.
  • 现有的堆叠子数组方法对于未折叠的共因数线性数组 (UCLA) 是无效的,当子数组共享相同的源角度方向向量时.
  • 阶段模两可是DOA估计中的一个重大挑战.

研究的目的:

  • 为了解决未折叠的共原数线性数组 (UCLA) 中的相模糊性问题.
  • 为提高DOA估计提出一个改进的未折叠的副初数线性数组 (IUCLA) 设计.
  • 使用IUCLA开发一种光谱峰值搜索方法,以改进目标检测和角度估计.

主要方法:

  • 将UCLA重建成一个改进的未折叠的共原数线性数组 (IUCLA) 通过重新安置参考元素.
  • 引入第三个共质整数来创建多个共质互对,解决相位模两可.
  • 应用光谱峰值搜索算法来利用UCLA的全部光圈和自由度 (DOF).

主要成果:

  • 拟议的UCLA有效地解决了UCA固有的阶段模糊性问题.
  • 谱峰搜索方法允许检测目标并使用整个阵列孔径进行准确的角度估计.
  • 该方法证明了计算复杂性的降低,并避免了额外的处理以消除模两可.

结论:

  • 开发的IUCLA和相关的DOA估计方法与现有技术相比,提供了更好的解决方案.
  • 数字模拟和克莱默-拉奥结合 (CRB) 分析验证了拟议方法的有效性和性能增长.
  • 这项研究为传感器阵列应用的DOA估计提供了显著的进步.