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Updated: Jan 16, 2026

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
07:05

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

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基于矩阵完成和传播器方法的快速2D-DOA估计与对任意EMVS阵列的噪声抑制

Yunzhe Ruan1, Weiwei Gong1

  • 1The Electronic Information and Electrical Engineering College, Yangtze University, Jingzhou 434023, China.

Sensors (Basel, Switzerland)
|September 27, 2025
PubMed
概括

本研究提出了一种快速算法,用于使用电磁向量传感器 (EMVS) 阵列估计二维到达方向 (2D-DOA),即使是随机排列和非均噪声. 该方法有效地消除噪音,重建数据,并准确估计2D-DOA,优于现有技术.

关键词:
一个任意的数组数组.抵达方向估计的方向.电磁向量传感器传感器完成矩阵的完成.不统一的噪音不统一的噪音

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