IMF

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IMFInternational Monetary Fund (United Nations)
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IMFInstituteur Maître Formateur (French: Master Teacher Trainer)
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IMFIllegally Manufactured Fentanyl (pain medication)
IMFIntermolecular Attractive Forces
IMFIraq Memory Foundation
IMFImphal, India - Municipal (Airport Code)
IMFImmunomonitoring Facility (Burnett Institute; Australia)
IMFInternational Myomassethics Federation
IMFIntermediate Moment Frame (steel structures)
IMFInterdenominational Ministers Fellowship
IMFInteractive Mainframe Facility
IMFIntra Molecular Friction
IMFIntelligent Minefield
IMFInternational Marketing Federation
IMFIntegrated Maintenance Facility
IMFIrish Medicines Formulary
IMFInformação de Mercados Financeiros SA
IMFIMSI Management Forum
IMFIFRA Message Format
IMFInternational Mozarteum Foundation (Austria)
IMFImproved Message Facility
IMFInterference Mitigation Filter
IMFInternational Migration Flow
IMFInformation Management Folder
IMFIrrigation Maintenance Fund (India)
IMFIntern in Marriage and Family Therapy (California)
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References in periodicals archive ?
Che[ck.sub.in]g whether the [h.sub.1](t) to meet the above 2 conditions, if not satisfied, then taking the [h.sub.1] (t) as the signal to be processed, repeating the above operation until [h.sub.1](t)is an intrinsic mode function, denoted as
Empirical Mode Decomposition (EMD) method is used to decompose the original wind speed data into an intrinsic mode function (IMF) with local time-varying features adaptively, and it can reduce its nonstationarity effectively.
describe a novel scheme that combines amplitude-frequency information of intrinsic mode function with a common spatial pattern, namely, AF-CSP, to extract motor imagery features and improve the classification performance.
Algorithm 1 Input: Signal x(t) Output: Intrinsic Mode Function (IMF) Process: (1) Up sample between minima and maxima, and generate envelopes el(t) and em(t) (2) Compute local mean a(t) = em(t) - el(t).
The nonstationary signal can be decomposed into an intrinsic mode function (IMF) and a residual function by empirical modal decomposition.
Abbreviations BEMD: Bidimensional Empirical Mode Decomposition CT: Computer tomography EMD: Empirical Mode Deposition GFP: Green fluorescent protein GLCM: Grey-Level Cooccurrence Matrix IMF: Intrinsic Mode Function MRI: Magnetic resonance imaging TUA: [alpha]-TUBULIN SNR: Signal to noise ratio TIFF: Tagged image file format.
The concrete calculation principle of Hilbert-Huang transform is shown as follows: generally, a nonstationary signal can be decomposed into a series of intrinsic mode function (known as IMF for short) components by using ensemble empirical mode decomposition (known as EEMD for short) method.
For example, different oscillations exist in the same intrinsic mode function (IMF), or similar oscillations exist in different IMFs.
Calculation of Intrinsic Mode Function. EMD is a powerful time-frequency domain analysis technique for decomposing a nonlinear and nonstationary time series into a set of orthogonal components named as intrinsic mode functions.
The last few IMFs that do not contain enough physical meaning are called false intrinsic mode function (FIMF) components.
Therefore, empirical mode decomposition (EMD), as a special adaptive and direct data processing method developed especially for dealing with nonlinear and nonstationary data, is used to decompose the original load data into a set of intrinsic mode function (IMF) components and one residue, which can improve the accuracy of forecasting [21-23].
Figure 7 shows the Hilbert spectrum of the decomposed signal intrinsic mode functions. From Figure 7, we can see that those respective components are well separated, and the time-dependent properties of the frequencies are clearly shown.