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Updated: Jan 29, 2026

Deriving the Time Course of Glutamate Clearance with a Deconvolution Analysis of Astrocytic Transporter Currents
09:42

Deriving the Time Course of Glutamate Clearance with a Deconvolution Analysis of Astrocytic Transporter Currents

Published on: August 7, 2013

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短时间同型解卷 (STHD):一种新的2D特征,用于稳固的到达估计的室内方向

Yeonseok Park1, Jun-Hwa Kim2

  • 1Tech Innovation Group, KT Corporation, Seoul 03155, Republic of Korea.

Sensors (Basel, Switzerland)
|January 28, 2026
PubMed
概括

这项研究引入了一种新的音频特征提取方法,用于精确的室内定位. 这种新的方法在具有挑战性的声学环境中显著提高了到达方向估计的准确性.

关键词:
卷积神经网络是一个卷积神经网络.塞普斯特拉的分析道的注意力 道的注意力深度学习是一种深度学习.到达的方向是到达的方向.室内定位装置 室内定位装置多频道音频多频道音频短时间的同态解卷变形.模拟到真实的真实声音源的本地化 声音源的本地化飞行时间-飞行时间.

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