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The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis

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TLDR
In this paper, a new method for analysing nonlinear and nonstationary data has been developed, which is the key part of the method is the empirical mode decomposition method with which any complicated data set can be decoded.
Abstract
A new method for analysing nonlinear and non-stationary data has been developed. The key part of the method is the empirical mode decomposition method with which any complicated data set can be dec...

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Revisiting QRS detection methodologies for portable, wearable, battery-operated, and wireless ECG systems

TL;DR: In this paper, the authors investigate current QRS detection algorithms based on three assessment criteria: robustness to noise, parameter choice, and numerical eciency, in order to target a universal fast-robust detector.
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Application of the empirical mode decomposition to the analysis of esophageal manometric data in gastroesophageal reflux disease

TL;DR: The idea of EMD was applied to develop strategies to automatically identify the relevant IMFs that contribute to the slow-varying trend in the data, and its application on the analysis of esophageal manometric time series in gastroesophagal reflux disease was presented.
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Stock closing price prediction based on sentiment analysis and LSTM

TL;DR: It is confirmed that investors’ emotional tendency is effective to improve the predicted results; the introduction of EMD can improve the predictability of inventory sequences; and the attention mechanism can help LSTM to efficiently extract specific information and current mission objectives from the information ocean.
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Amplified transboundary transport of haze by aerosol-boundary layer interaction in China

TL;DR: In this paper, the authors present that long-range transport and aerosol-boundary layer feedback may interact rather than act as two isolated processes as traditionally thought by investigating typical regional haze events in northern and eastern China.
Journal ArticleDOI

Revisiting QRS detection methodologies for portable, wearable, battery-operated, and wireless ECG systems.

TL;DR: This work investigates current QRS detection algorithms based on three assessment criteria: 1) robustness to noise, 2) parameter choice, and 3) numerical efficiency, in order to target a universal fast-robust detector.
References
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Journal ArticleDOI

Deterministic nonperiodic flow

TL;DR: In this paper, it was shown that nonperiodic solutions are ordinarily unstable with respect to small modifications, so that slightly differing initial states can evolve into considerably different states, and systems with bounded solutions are shown to possess bounded numerical solutions.
Book

Linear and Nonlinear Waves

G. B. Whitham
TL;DR: In this paper, a general overview of the nonlinear theory of water wave dynamics is presented, including the Wave Equation, the Wave Hierarchies, and the Variational Method of Wave Dispersion.
Book

RANDOM DATA Analysis and Measurement Procedures

TL;DR: A revised and expanded edition of this classic reference/text, covering the latest techniques for the analysis and measurement of stationary and nonstationary random data passing through physical systems, is presented in this article.

Theory of communication

Dennis Gabor
Journal ArticleDOI

Mathematical analysis of random noise

TL;DR: In this paper, the authors used the representations of the noise currents given in Section 2.8 to derive some statistical properties of I(t) and its zeros and maxima.
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