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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, 2013
Denoise 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
openaire   +1 more source

Hilbert spectral analysis of vowels using intrinsic mode functions

2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 2015
In 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, 2018
Empirical 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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On selecting relevant intrinsic mode functions in empirical mode decomposition: An energy-based approach

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014
Although the empirical mode decomposition is a powerful tool for analyzing complicated datasets, many irrelevant intrinsic mode functions may appear in the decomposition. In this paper, we develop an energy-based method to detect relevant intrinsic mode functions.
Baptista de Souza, Douglas   +2 more
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Optical diagnosis of cervical cancer by intrinsic mode functions

SPIE Proceedings, 2017
In 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), 2017
This 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, 2009
We 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
openaire   +1 more source

The Intrinsic Mode Function Time Delay Method for beamforming

2012 Oceans, 2012
This paper presents the Intrinsic Mode Function Time Delay Method (IMFTDM) which is based on Hilbert Huang Transform (HHT) and its application in beamforming. The IMFTDM can delay the broadband Intrinsic Mode Function (IMF) by arbitrary time accurately.
null Guang-Bing Yang   +2 more
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Wigner-Ville distribution based on intrinsic mode function

2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559), 2002
A new method for suppressing the cross-term of the Wigner-Ville distribution is presented. It is designated as Wigner-Ville distribution based on intrinsic mode function. It includes two procedures. First, using a method of signal decomposition, a complicated signal is decomposed into a finite and often small number of basic components-intrinsic mode ...
null Zhang Haiyong   +2 more
openaire   +1 more source

Bearing Fault Detection Using Intrinsic Mode Functions Statistical Information

2018 15th International Multi-Conference on Systems, Signals & Devices (SSD), 2018
This paper investigates the bearing fault detection using vibration signals. For these mechanical type of fault, the energy in the signal is distributed in the frequency domain which is relatively wide. These particular frequencies linked to the fault occurrence is difficult to isolate and characterise.
Zahra Mezni   +3 more
openaire   +2 more sources

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