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经验模态分解及其扩展在脑电分析中的应用综述

IF 0.5 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Advances in Data Science and Adaptive Analysis Pub Date : 2018-08-15 DOI:10.1142/S2424922X18400016
C. Sweeney-Reed, S. Nasuto, Marcus Fraga Vieira, A. Andrade
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引用次数: 26

摘要

经验模态分解(EMD)提供了一种自适应的、数据驱动的时频分析方法，产生的分量可以从中推导出局部幅度、相位和频率内容。
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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Empirical Mode Decomposition and its Extensions Applied to EEG Analysis: A Review
Empirical mode decomposition (EMD) provides an adaptive, data-driven approach to time–frequency analysis, yielding components from which local amplitude, phase, and frequency content can be derived...
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来源期刊
Advances in Data Science and Adaptive Analysis
Advances in Data Science and Adaptive Analysis MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
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