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Showing 1 to 7 of 7 for “"Hilbert-Huang transform"”.

  1. Hilbert -Huang -Transform Based Modelling and Simulation of Nonstationary Processes and Applications to Earthquake Engineering

    The methods are further applied to generation of Uniform Hazard Earthquake Response Spectrum and Ground Motions. A record-based methodology is proposed and demonstrated by an example at Los Angeles. The resulting UHRS compare well with those of USGS and SAC. The method does not rely on theories or …

    uiuc Repository record for Hilbert -Huang -Transform Based Modelling and Simulation of Nonstationary Processes and Applications to Earthquake Engineering (opens in a new tab)

  2. Time-frequency domain analysis of exchange rate market integration in Southern Africa Development Community: A Hilbert-Huang Transform approach

    … The second stage compared the performance of two Hilbert-Huang Transforms (EMD and EEMD) to decompose SADC exchange rate markets of which EEMD emerged superior. The components of the decomposed series were examined for dominance and ability to define the exchange rate trajectory in SADC. The …

    venda Repository record for Time-frequency domain analysis of exchange rate market integration in Southern Africa Development Community: A Hilbert-Huang Transform approach (opens in a new tab)

  3. Methods for Structural Health Monitoring and Damage Detection of Civil and Mechanical Systems

    … for modal parameter estimation are: Wavelet transform, Hilbert-Huang transform, parametric system identification and peak picking. Through various numerical simulations the effectiveness of these methods is studied. It is found that the simple peak-picking method performs the best and is able …

    vt Repository record for Methods for Structural Health Monitoring and Damage Detection of Civil and Mechanical Systems (opens in a new tab)

  4. Transition to turbulence and relaminarization of pulsatile pipe flows

    … mode decomposition together with the relevant Hilbert-Huang transform to determine the intrinsic mode functions. This later method is more appropriate for nonlinear and non-stationary cases, for which traditional analysis involving classical Fourier decomposition is not directly applicable. It …

    cuny Repository record for Transition to turbulence and relaminarization of pulsatile pipe flows (opens in a new tab)

  5. Time series analysis and machine learning studies of biophotovoltaic systems

    … To avoid the hard-to-predict STL remainder, the Hilbert-Huang transform (HHT) was applied to decompose current profiles. HHT analysis resulted in more regular and physically meaningful oscillating subcomponents that oscillate with eight discrete time scales. Hypotheses for the genesis of the …

    cambridge Repository record for Time series analysis and machine learning studies of biophotovoltaic systems (opens in a new tab)

  6. Climate variability and extreme hydro-meteorological events in the Southern Central Andes, NW Argentina

    … the relevant monthly time series using the Hilbert-Huang Transform, which is particularly appropriate for non-stationary time series that result from non-linear natural processes. I observed that in the study region discharge variability can be described by five quasi-periodic oscillatory …

    potsdam-diss Repository record for Climate variability and extreme hydro-meteorological events in the Southern Central Andes, NW Argentina (opens in a new tab)

  7. Influence of riparian vegetation on near-bank flow structure and rates of erosion on a large meandering river

    … and scales of roughness were evaluated using Hilbert-Huang Transform spectral analysis and root-mean-square analysis. Results show that scales of roughness along banks composed primarily of non-cohesive sediment vary as bank elevation increases and show a tendency for a dominant length scale …

    uiuc Repository record for Influence of riparian vegetation on near-bank flow structure and rates of erosion on a large meandering river (opens in a new tab)