Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 14 of 14 for “"Empirical Mode Decomposition (EMD)"”.
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Multidimensional and multivariate empirical mode decomposition
Over the last decade, Empirical Mode Decomposition (EMD) has developed into a versatile tool for adaptive, scale-based modal decomposition. EMD has proven to be capable of decomposing multivariate signals with cross-channel mode alignment. However, the algorithms for envelope identification in …
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Long Term Ground Based Precipitation Data Analysis: Spatial and Temporal Variability
… response variables (classifiers) on various models applied to the detection of El Niño Southern Oscillation (ENSO) on California’s seven climate divisions by using modeled and gauge (in-situ/ground) precipitation measurements and various climate indices. Three scientific studies were …
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MID-ATLANTIC RIDGE (12~16oN) BATHYMETRIC ANALYSIS BY EMPIRICAL MODE DECOMPOSITION
… on previous studies. This study applies 2-D Empirical Mode Decomposition (EMD) to simulate a similar 1D global study of mid-ocean ridges by Small (1994; 1998), but with fewer than 10 intrinsic mode functions (IMFs). With appropriate combination of IMFs, this study acquires not only similar …
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Analysis and techniques of partial shading detection and classification in solar photovoltaic arrays
… Wavelet Packet Transform (WPT) along with Empirical Mode Decomposition (EMD) to extract the features of PV panel output voltage and string current signals during partial shading conditions. In the first stage, the WPT is used to split the PV voltage and string currents into specific …
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Feature extraction and data reduction for hyperspectral remote sensing Earth observation
… from vector to matrix arrays. Inspired by Empirical Mode Decomposition (EMD) methods, a recent and promising algorithm, Singular Spectrum Analysis (SSA), is introduced to hyperspectral remote sensing, performing extraction of features in the spectral (1D-SSA) and also the spatial (2D-SSA) …
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An Integrated Compensation System Based on Empirical Mode Decomposition for Robust Noninvasive Blood Pressure Estimation
… are suppressed using algorithms based on Empirical Mode Decomposition (EMD), which has the feature of removing unwanted noise components little effect on the phase or the frequency distribution of the measured signal. With motion artifacts, measurements show that the proposed algorithms …
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Construction of frequency-energy plots for nonlinear dynamical systems from time-series data
… stiffnesses present in a system. Separately, the empirical mode decomposition (EMD) method is used to decompose the system response into intrinsic mode functions (IMFs) whose frequencies are then estimated with the Hilbert transform. The FEP is created by plotting these estimated frequencies …
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Partial discharge denoising for power cables
… it presents new findings in the application of empirical mode decomposition (EMD) in PD denoising. Wavelet-based technique has received high attention in the area of PD denoising, it still faces challenges, however, in wavelet selection, decomposition scale determination, and noise estimation. …
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Drivers of coastal sea level variability along the east and south of South Africa
… These timescales were separated through the Empirical Mode Decomposition (EMD) method. This is the first time that the EMD method has been applied to southern African tide gauge records. The sensitivity of the EMD method when dealing with data gaps was tested on artificially created gaps in …
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Data-driven and Model-based Bearing Fault Analysis - Wind Turbine Application
… bearings including vibration data analysis, and modeling of bearing outer race faults to understand how the vibration signal develops as the faults progresses. Case studies from large wind turbines are described where amplitude and phase demodulation are used to identify the outer race fault on …
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Implicit Learning of Semantic Preferences
… electroencephalographic (EEG) signal, based on empirical mode decomposition (EMD) denoising. - Chapter 6 presents a final discussion and indications for future research. The main contribution of this dissertation to the general field of implicit learning research consists in its challenging the …
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Prediction of asphalt concrete pavement density from processing ground-penetrating radar compaction data
… optimization approach, with a three-layer model, was proposed to address reflected signal overlap and surface moisture effect simultaneously in the time domain. Results from field tests performed in Urbana, IL showed that AC layer thickness and dielectric constant could be reconstructed …
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Methodology for nonlinear quantification of a cantilever beam with local nonlinearities
… the system is almost linear and can be modeled with negligible error as fixed-free or fixed-pinned, depending on the configuration. For the beam with a cubic spring attachment, the forcing amplitude is the varied parameter. For the vibro-impact beam, the parameter is the clearance …
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Heart Rate Variability analysis in patients undergoing local anesthesia
… periodogram) and parametric (Autoregressive modelling) methods. Statistical analysis of the parameters obtained from both the non-parametric and the parametric methods showed significant decrease in the LF/HF ratio values within an hour of application of the block in nine out of fourteen …