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A review on Hilbert‐Huang transform: Method and its applications to geophysical studies
Data analysis has been one of the core activities in scientific research, but limited by the
availability of analysis methods in the past, data analysis was often relegated to data …
availability of analysis methods in the past, data analysis was often relegated to data …
[HTML][HTML] A novel approach for emotion recognition based on EEG signal using deep learning
Emotion can be defined as a voluntary or involuntary reaction to external factors. People
express their emotions through actions, such as words, sounds, facial expressions, and …
express their emotions through actions, such as words, sounds, facial expressions, and …
Time dependent intrinsic correlation analysis of temperature and dissolved oxygen time series using empirical mode decomposition
In the marine environment, many fields have fluctuations over a large range of different
spatial and temporal scales. These quantities can be nonlinear and non-stationary, and …
spatial and temporal scales. These quantities can be nonlinear and non-stationary, and …
Arbitrary-order Hilbert spectral analysis for time series possessing scaling statistics: Comparison study with detrended fluctuation analysis and wavelet leaders
In this paper we present an extended version of Hilbert-Huang transform, namely arbitrary-
order Hilbert spectral analysis, to characterize the scale-invariant properties of a time series …
order Hilbert spectral analysis, to characterize the scale-invariant properties of a time series …
Use of historical data to assess regional climate change
Time series of historical annual average temperature, total precipitation, and extreme
weather indices were constructed and analyzed for 103 (for temperature indices) and 115 …
weather indices were constructed and analyzed for 103 (for temperature indices) and 115 …
[KNJIGA][B] Stochastic analysis of scaling time series: from turbulence theory to applications
FG Schmitt, Y Huang - 2016 - books.google.com
Multi-scale systems, involving complex interacting processes that occur over a range of
temporal and spatial scales, are present in a broad range of disciplines. Several …
temporal and spatial scales, are present in a broad range of disciplines. Several …
Future nuisance flooding in Norfolk, VA, from astronomical tides and annual to decadal internal climate variability
AG Burgos, BD Hamlington… - Geophysical …, 2018 - Wiley Online Library
Increasing sea level rise will lead to more instances of nuisance flooding along the Virginia
coastline in the coming decades, causing road closures and deteriorating infrastructure …
coastline in the coming decades, causing road closures and deteriorating infrastructure …
The Hilbert-Huang transform: theory, applications, development
BL Barnhart - 2011 - search.proquest.com
Abstract Hilbert-Huang Transform (HHT) is a data analysis tool, first developed in 1998,
which can be used to extract the periodic components embedded within oscillatory data …
which can be used to extract the periodic components embedded within oscillatory data …
Multifractal description of wind power fluctuations using arbitrary order Hilbert spectral analysis
The objectives are to study and model the aggregate wind power fluctuations dynamics in
the multifractal framework. We present here the analysis of aggregate power output sampled …
the multifractal framework. We present here the analysis of aggregate power output sampled …
A bidimensional empirical mode decomposition method for fusion of multispectral and panchromatic remote sensing images
This article focuses on the image fusion of high-resolution panchromatic and multispectral
images. We propose a new image fusion method based on a Hue-Saturation-Value (HSV) …
images. We propose a new image fusion method based on a Hue-Saturation-Value (HSV) …