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Updated: May 25, 2025

Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
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Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench

Published on: August 23, 2017

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安全和智能单通道盲源分离通过自适应变化模式分解与优化的参数通过自适应变化模式分解

Meishuang Yan1, Lu Chen1, Wei Hu1

  • 1Department of Information Security, Naval University of Engineering, Wuhan 430030, China.

Sensors (Basel, Switzerland)
|February 26, 2025
PubMed
概括

本研究介绍了一种智能信号处理方法,用于安全的单通道盲源分离 (SCBSS). 这种新的方法通过优化信号分解和源隔离的参数来提高噪音环境中的系统可靠性.

关键词:
改进了PSO优化的VMD,改进了PSO优化的VMD.改进了快速独立组件分析的性能.改进了粒子群优化算法.一个单通道的盲源分离器.

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