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The structures of some typical intrinsic mode functions
Mathematical Methods in the Applied Sciences, 2012The empirical mode decomposition is a powerful tool for analyzing nonlinear and nonstationary data. In this method, one of the main conceptual innovations is the introduction of intrinsic mode functions (IMFs), which arise as basic modes from the application of the empirical mode decomposition to signals.
Yang, Zhijing, Yang, Lihua
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Noise-assisted intrinsic mode function coherence in seizure anticipation
2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011Epilepsy is a common neurological disorder characterized by recurrent electrophysiological activities, known as seizures. We explore the applicability of noise-assisted Ensemble Empirical Mode Decomposition (EEMD) for patient-specific seizure anticipation.
Daniel W. Moller, Alan W. L. Chiu
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An intrinsic mode function basis dictionary for auditory signal processing
2014 International Conference on Audio, Language and Image Processing, 2014As one important field of sparse representation, the research of dictionary learning attracts most researchers interest in signal processing study. Empirical Mode Decomposition (EMD), as an efficient and adaptive signal decomposition method that depends completely on the signal, is considered as an innovative and appropriative the basis function theory.
Chang Gao, Haifeng Li 0001, Lin Ma 0003
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Two-Dimensional Curvature-Based Analysis of Intrinsic Mode Functions
IEEE Signal Processing Letters, 2018A novel approach in modeling the empirical mode decomposition (EMD) is proposed here, allowing a perfect image recovery and, for instance, a straightforward extension for multidimensional $\mathbb{R}^{n}$ signals. In fact, thanks to a new sifting process modeling, where the two-dimensional (2-D) local mean envelope is formulated with the ...
El-Hadji Samba Diop +2 more
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Denoise of ECG Based on Weighted Sum of Intrinsic Mode Functions
2013 Seventh International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, 2013Denoise of ECG using weighted sum of intrinsic mode functions (IMFs) with weights determined by the distance metric between each IMF and the noise is proposed in this paper. Traditionally, approaches of the like are achieved by subtracting some IMFs directly from the noisy ECG.
Ching-Haur Chang, Shin-Da Lee
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Hilbert spectral analysis of vowels using intrinsic mode functions
2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 2015In recent work, we presented mathematical theory and algorithms for time-frequency analysis of non-stationary signals. In that work, we generalized the definition of the Hilbert spectrum by using a superposition of complex AM-FM components parameterized by the Instantaneous Amplitude (IA) and Instantaneous Frequency (IF).
Steven Sandoval +2 more
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Empirical Mode Decomposition for Signal Preprocessing and Classification of Intrinsic Mode Functions
Pattern Recognition and Image Analysis, 2018Empirical mode decomposition (EMD) is an adaptive, data-driven technique for processing and analyzing various types of non-stationary signals. EMD is a powerful and effective tool for signal preprocessing (denoising, detrending, regularity estimation) and time-frequency analysis. This paper discusses pattern discovery in signals via EMD. New approaches
D. M. Klionskiy +2 more
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Optical diagnosis of cervical cancer by intrinsic mode functions
SPIE Proceedings, 2017In this paper, we make use of the empirical mode decomposition (EMD) to discriminate the cervical cancer tissues from normal ones based on elastic scattering spectroscopy. The phase space has been reconstructed through decomposing the optical signal into a finite set of bandlimited signals known as intrinsic mode functions (IMFs).
Sabyasachi Mukhopadhyay +5 more
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A feature directly extracted from Intrinsic Mode Functions
2017 IEEE Radar Conference (RadarConf), 2017This paper presents a general approach for extracting the specific feature directly from all the Intrinsic Mode Functions (IMF). It is believed that every IMF is possessed with its own physical meaning. However, a detailed signature is a part of the specially determined IMF.
Yier Lin +3 more
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Correspondence Between Intrinsic Mode Functions and Slow Flows
Volume 1: 22nd Biennial Conference on Mechanical Vibration and Noise, Parts A and B, 2009We study the correspondence between analytical and empirical slow-flow analyses, which will form a basis for a time-domain nonparametric nonlinear system identification method. Given a sufficiently dense set of sensors, measured time series recorded throughout a mechanical or structural system contains all information regarding the dynamics of that ...
Young S. Lee +4 more
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