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A systematic review of literature on automated sleep scoring
Sleep is a period of rest that is essential for functional learning ability, mental health, and
even the performance of normal activities. Insomnia, sleep apnea, and restless legs are all …
even the performance of normal activities. Insomnia, sleep apnea, and restless legs are all …
EMD2FNN: A strategy combining empirical mode decomposition and factorization machine based neural network for stock market trend prediction
Stock market forecasting is a vital component of financial systems. However, the stock prices
are highly noisy and non-stationary due to the fact that stock markets are affected by a …
are highly noisy and non-stationary due to the fact that stock markets are affected by a …
Hilbert–Huang transformation-based time-frequency analysis methods in biomedical signal applications
Hilbert–Huang transformation, wavelet transformation, and Fourier transformation are the
principal time-frequency analysis methods. These transformations can be used to discuss …
principal time-frequency analysis methods. These transformations can be used to discuss …
An EMD-based recognition method for Chinese fonts and styles
This paper presents a novel method to recognize Chinese fonts based on empirical mode
decomposition (EMD). By analyzing and comparing a great number of Chinese characters …
decomposition (EMD). By analyzing and comparing a great number of Chinese characters …
Empirical mode decomposition analysis for visual stylometry
In this paper, we show how the tools of empirical mode decomposition (EMD) analysis can
be applied to the problem of “visual stylometry,” generally defined as the development of …
be applied to the problem of “visual stylometry,” generally defined as the development of …
Optimal averages for nonlinear signal decompositions—Another alternative for empirical mode decomposition
The empirical mode decomposition (EMD) is an algorithm pioneered by Huang et al. as an
alternative technique to the traditional Fourier and wavelet methods for analyzing nonlinear …
alternative technique to the traditional Fourier and wavelet methods for analyzing nonlinear …
EEG phase synchronization during hypnosis induction
Hypnosis is a mental state or set of attitudes usually induced by a procedure known as
hypnotic induction. In order to provide the basic physiological conditions for potentially …
hypnotic induction. In order to provide the basic physiological conditions for potentially …
Fast and stable signal deconvolution via compressible state-space models
Objective: Common biological measurements are in the form of noisy convolutions of signals
of interest with possibly unknown and transient blurring kernels. Examples include EEG and …
of interest with possibly unknown and transient blurring kernels. Examples include EEG and …
[PDF][PDF] A new definition of the intrinsic mode function
A new definition of the intrinsic mode function Page 1 A new definition of the intrinsic mode
function Zhihua Yang, and Lihua Yang Abstract—This paper makes a detailed analysis …
function Zhihua Yang, and Lihua Yang Abstract—This paper makes a detailed analysis …
A method to eliminate riding waves appearing in the empirical AM/FM demodulation
Empirical mode decomposition can decompose a complicated signal into a sum of finite
intrinsic mode functions whose instantaneous frequencies computed by the analytic signal …
intrinsic mode functions whose instantaneous frequencies computed by the analytic signal …