نتایج جستجو برای: huang transform

تعداد نتایج: 122685  

Journal: :EURASIP J. Adv. Sig. Proc. 2008
Hassan Amoud Hichem Snoussi David J. Hewson Jacques Duchêne

The aim of this paper was to compare empirical mode decomposition (EMD) and two new extended methods of EMD named complex empirical mode decomposition (complex-EMD) and bivariate empirical mode decomposition (bivariate-EMD). All methods were used to analyze stabilogram center of pressure (COP) time series. The two new methods are suitable to be applied to complex time series to extract complex ...

Journal: :J. Electrical and Computer Engineering 2008
Ram Bilas Pachori

A new method for analysis of electroencephalogram (EEG) signals using Empirical Mode Decomposition (EMD) and Fourier-Bessel (FB) expansion has been presented in this paper. The EMD decomposes a EEG signal into a finite set of band-limited signals termed Intrinsic Mode Functions (IMFs). The mean frequency (MF) for each IMF has been computed using FB expansion. The MF measure of the IMFs has been...

Journal: :Advances in Adaptive Data Analysis 2009
Luan Lin Yang Wang Haomin Zhou

The empirical mode decomposition (EMD) was a method pioneered by Huang et al [8] as an alternative technique to the traditional Fourier and wavelet techniques for studying signals. It decomposes a signal into several components called intrinsic mode functions (IMF), which have shown to admit better behaved instantaneous frequencies via Hilbert transforms. In this paper we propose an alternative...

2008
Nyaga Mbitiru Peter Tay James Z. Zhang Robert D. Adams

Voice stress analysis (VSA) is accomplished by measuring fluctuations in the physiological microtremor present in speech. In this paper, Empirical Mode Decomposition is compared to traditional Fast Fourier Transform in the analysis of the physiological microtremor. The results are expected to show that EMD is better suited in the detection of stress in voice.

2012
Yanqing Li Yan Fu Feilong Wang

Voltage fluctuation is an essential problem exiting in distribution network. This paper applies Hilbert Huang transform (HHT) algorithm to dealing with voltage fluctuation tracking. An adaptive method based on waveform matching is presented to prevent the endpoint effects in mode decomposition. Numerical examples are given and the simulation verifies the practicality of the proposed method.

2014
Ying Fung Brian Mak

Cantonese is a very popular spoken language/dialect, which is well known for its rich set of nine tones and the similarity in tone contours between its tones. Automated tone recognition of Cantonese is very challenging. Hilbert-Huang Transform (HHT) is an empirical algorithm that works on non-stationary and nonlinear signals. In this study, the performance of the HHT algorithm on the recognitio...

2014
Gang Xie Yuming Guo Shilu Tong Lin Ma

BACKGROUND Heatwaves could cause the population excess death numbers to be ranged from tens to thousands within a couple of weeks in a local area. An excess mortality due to a special event (e.g., a heatwave or an epidemic outbreak) is estimated by subtracting the mortality figure under 'normal' conditions from the historical daily mortality records. The calculation of the excess mortality is a...

2013
Andrew Hill Brian G Stewart Scott G McMeekin Gordon Morison

This paper presents the findings of an investigation into Partial Discharge signal denoising using techniques based on Empirical Mode Decomposition. The denoising techniques are based on thresholding the Intrinsic Mode Functions which result from the Empirical Mode Decomposition of a signal. The results of the tests carried out show clearly that these techniques can produce excellent results wh...

2013
Jiajun Han Mirko van der Baan

Time-frequency analysis plays a significant role in seismic data processing and interpretation. Complete ensemble empirical mode decomposition decomposes a seismic signal into a sum of oscillatory components, with guaranteed positive and smoothly varying instantaneous frequencies. Analysis on synthetic and real data demonstrates that this method promises higher spectral-spatial resolution than ...

Journal: :Informatica, Lith. Acad. Sci. 2005
Arturas Janusauskas Rytis Jurkonis Arunas Lukosevicius Skaidra Kurapkiene Alvydas Paunksnis

This paper presents a new approach for human cataract automatical detection based on ultrasound signal processing. Two signal decomposition techniques, empirical mode decomposition and discrete wavelet transform are used in the presented method. Performance comparison of these two decomposition methods when applied to this specific ultrasound signal is given. Described method includes ultrasoni...

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