Results 151 to 160 of about 35,860 (209)

Exploring Nociceptive-Analgesic Balance and EEG Modulation Patterns During General Anesthesia Using Holo-Hilbert Spectral Analysis. [PDF]

Pain Res Manag
Ho CN, Huang NE, Chen JY, Yang AC.
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Simultaneous Pi2 pulsation detected by CSES-01, Swarm, RBSP and Arase satellites. [PDF]

Sci Rep
Ghamry E, Yamamoto K, Marchetti D, Takahashi K, Hawash I, Khalifa M, Bulusu J, Metwaly M, Miyoshi Y, Zhima Z, Matsuoka A, Teramoto M, Kasahara Y, Tsuchiya F, Kumamoto A, Shinbori A, Shinohara I.   +16 more
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2D Hilbert-Huang Transform

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014
This paper presents a 2D transposition of the Hilbert-Huang Transform (HHT), an empirical data analysis method designed for studying instantaneous amplitudes and phases of non-stationary data. The principle is to adaptively decompose an image into oscillating parts called Intrinsic Mode Functions (IMFs) using an Empirical Mode Decomposition method (EMD)
Jeremy Schmitt, Nelly Pustelnik, Pierre Borgnat, Patrick Flandrin   +3 more
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Hilbert-Huang Transform and the Application

2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS), 2020
The short-time fourier transform and wavelet transform are efficient non-stationary signal processing methods, but have their own limit. N.E. Huang put forward a new method, that is, to calculate the instantaneous frequency of the signal through empirical mode decomposition (EMD) of the signal and the Hilbert transform of intrinsic mode functions (IMF).
Yi Liu, Hao An, Shuangshuang Bian
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Hilbert Huang transform based speech recognition

2016 Second International Conference on Cognitive Computing and Information Processing (CCIP), 2016
In today's world, to make man-machine interaction more effective speech recognition plays an important role in speech processing. This paper presents the application of Hilbert-Huang transform (HHT), a mathematical tool applied for feature extraction phase of the speech signal processing.
null Vani H.Y, M.A. Anusuya
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Modulation classification by Hilbert-Huang Transform

2013 21st Signal Processing and Communications Applications Conference (SIU), 2013
The problem of identifying the modulation type of the signals at the receiver, is very helpful intermediate step for spectrum sensing which the cognitive radio systems are commonly used today. In this study, Hilbert-Huang Transform is proposed for identifying the modulation type of digitally modulated signals in the noisy environments.
Yesim Hekim Tanc, A. Akan
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The summary of Hilbert-Huang transform

SPIE Proceedings, 2013
The widely investigated signals are mainly nonstationary and nonlinear signals, thus it is difficult to get the precise information from the nonstationary and nonlinear signals. Here we introduce a new method to process the nonstationary and nonlinear signals. And this new algorithm makes a good performance on processing the nonstationary and nonlinear
Shi-De Song, Zhi-chao Yao, Xiao-Na Wang
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Analysis of voltage flicker using Hilbert-Huang Transform

2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU), 2011
Hilbert Huang Transform (HHT), which was proposed by Huang and developed by Flandrin and his group, is a new signal processing method that can be used in the analysis of nonlinear and nonstationary signals. This study suggests an approach of using Hilbert Huang Transform to measure the voltage flicker in power systems.
Önal, Yasemin, Ece, Dogan Gökhan, Gerek, Ömer Nezih   +2 more
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Hilbert-Huang Transformation: Application to Postural Stability Analysis

2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007
The aim objective of this paper is the analysis of the Centre Of Pressure (COP) time series by the means of the Hilbert Huang Transformation (HHT). The HHT consists of extracting the Intrinsic Mode Functions (IMFs) from an Empirical Mode Decomposition (EMD), and then applying the Hilbert Transformation on the IMFs.
Amoud, Hassan, Snoussi, Hichem, Hewson, David, Duchene, Jacques   +3 more
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