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Updated: Jun 27, 2026

Single-unit In vivo Recordings from the Optic Chiasm of Rat
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快速激活的最小门式单元:轻量化处理和特征识别,用于多个机械冲击信号

Wenrui Wang1, Dong Han2, Xinyi Duan1

  • 1School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.

Sensors (Basel, Switzerland)
|August 29, 2024
PubMed
概括

本研究介绍了一种智能算法,用于识别多个动态冲击信号,克服非线性干扰. 这种新的方法提高了实时性能和准确性,特别是对于计算能力有限的系统.

关键词:
轻量级网络轻量级的网络.多个动态冲击信号多个动态冲击信号.信号识别 信号识别波形变换波形变换波形变换.

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