计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2010年
4期
120-124
,共5页
经验模式分解%内蕴模式函数%非线性时变信号
經驗模式分解%內蘊模式函數%非線性時變信號
경험모식분해%내온모식함수%비선성시변신호
Empirical Mode Decumposition(EMD)%Intrinsic Mode Function(IMF)%nonlinear and time-varying signal
经验模式分解(Empirical Mode Decomposition,EMD)是一种完全由数据驱动的自适应非线性时变信号分解方法,它将数据分解成具有物理意义的几个内蕴模式函数分量.介绍了一维EMD、二维EMD的基本概念、主要算法及其主要应用,指出了EMD的主要优点和缺点,给出了EMD研究与应用的发展趋势.
經驗模式分解(Empirical Mode Decomposition,EMD)是一種完全由數據驅動的自適應非線性時變信號分解方法,它將數據分解成具有物理意義的幾箇內蘊模式函數分量.介紹瞭一維EMD、二維EMD的基本概唸、主要算法及其主要應用,指齣瞭EMD的主要優點和缺點,給齣瞭EMD研究與應用的髮展趨勢.
경험모식분해(Empirical Mode Decomposition,EMD)시일충완전유수거구동적자괄응비선성시변신호분해방법,타장수거분해성구유물리의의적궤개내온모식함수분량.개소료일유EMD、이유EMD적기본개념、주요산법급기주요응용,지출료EMD적주요우점화결점,급출료EMD연구여응용적발전추세.
Empirical Mode Decomposition(EMD)iS a decomposition algorithm which is used to analyze nonlinear and timevarying signal.Different from the traditional signal analysis method,the decomposition is data-driven and self-adaptive.A review work about the current development of one dimensional EMD and bidimensional EMD is introduced.At first,some basic concepts,main algorithms and applications are described.Then the advantages and shortages of EMD are discussed.At the end of the paper,several problems which are waiting to be solved are listed.
