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相关概念视频

Uniform Depth Channel Flow: Problem Solving01:18

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To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
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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.
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The Doppler effect has several practical, real-world applications. For instance, meteorologists use Doppler radars to interpret weather events based on the Doppler effect. Typically, a transmitter emits radio waves at a specific frequency toward the sky from a weather station. The radio waves bounce off the clouds and precipitation and travel back to the weather station. The radio frequency of the waves reflected back to the station appears to decrease if the clouds or precipitation are moving...
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一个基于空间源连贯性的自适应循环增益CLEAN算法,用于端/右歧视.

Songyue Qu1,2, Lianghao Guo1

  • 1State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, People's Republic of China.

The Journal of the Acoustical Society of America
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PubMed
概括
此摘要是机器生成的。

本研究引入了一个自适应的CLEAN算法 (A-CLEAN-SC),以改善在抵达估计方向上的港/右歧视. 该方法增强了通过干扰工件掩盖的弱目标的检测.

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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:

  • 近线性数组对于到达方向 (DOA) 估计至关重要.
  • 阵列中的圆柱体对称性对/右歧视 (PSD) 提出了挑战.
  • 干扰诱导的镜像工件可以掩盖弱点目标.

研究的目的:

  • 用近线性数组来解决DOA估计中的港/右歧视 (PSD) 问题.
  • 开发一种方法来检测被干扰诱导的镜像工件所掩盖的弱目标.
  • 为了改善镜子抑制和弱目标检测能力之间的权衡.

主要方法:

  • 引入基于空间源连贯性的自适应循环增益CLEAN算法 (A-CLEAN-SC).
  • 作为循环增益函数的检测和错误报警概率的制定.
  • 通过最大化检测和错误报警概率之间的差异来适应地确定循环增益.

主要成果:

  • 与现有方法相比,A-CLEAN-SC在镜像抑制方面表现出优异的性能.
  • 该算法有效地提高了弱目标的检测能力.
  • 拟议的方法显示性能有所改善,特别是在转向向量不匹配条件下.

结论:

  • A-CLEAN-SC有效地解决了在DOA估计中港/右歧视的挑战.
  • 该算法在镜子抑制和弱目标检测之间提供了卓越的权衡.
  • 对于具有转向向量不匹配的近线性阵列来说,A-CLEAN-SC特别有利.