The separation of chaos and signal is an important problem of chaos signal processing. In recent years, the time-frequency analysis method is more and more mature. This paper first introduces the basic theory of time-frequency methods. We compare wavelet method with empirical mode decomposition (EMD) method, according to the different noise situation of the performance analysis of harmonic sign...

Electroencephalography (EEG) based preliminary examination system has been proposed in the clinical brain death determination. This paper presents a novel data analysis algorithm based on multivariate empirical mode decomposition (MEMD) to calculate and evaluate the energy of EEG recorded from the comatose patients and brain deaths. MEMD is an extended approach of empirical mode decomposition (...

In this article, a novel technique based on the empirical mode decomposition methodology for processing speech features is proposed and investigated. The empirical mode decomposition generalizes the Fourier analysis. It decomposes a signal as the sum of intrinsic mode functions. In this study, we implement an iterative algorithm to find the intrinsic mode functions for any given signal. We desi...

This study introduces a new approach based on Bidimensional Empirical Mode Decomposition (BEMD) to extract texture features at multiple scales or spatial frequencies. Moreover, it can resolve the intrawave frequency modulation provided the frequency modulation. This decomposition, obtained by the bidimensional sifting process, plays an important role in the characterization of regions in textur...

To improve the efficiency of facial expression recognition, this paper puts forward a kind of recognition algorithm based on local binary pattern (LBP) and empirical mode decomposition (EMD). First of all, process the empirical mode decomposition into the preprocessing facial image, and bring forward many a high frequency images instead of the original image; then, divide the sub domain of the ...

Image enhancement methods can be divided into two groups: the ones that use only one single image and the ones that rely on specific training set or use multiple images. In this paper an iterative algorithm, based on the quasi-Newton methods, is introduced with the objective to enhance resolution only by one single image. In the paper there will be compared results gained depending on the used ...

A novel noise filtering algorithm based on ensemble empirical mode decomposition (EEMD) is proposed to remove artifacts in electrocardiogram (ECG) traces. Three noise patterns with different power--50 Hz, EMG, and base line wander--were embedded into simulated and real ECG signals. Traditional IIR filter, Wiener filter, empirical mode decomposition (EMD) and EEMD were used to compare filtering ...

As digital image watermarking has become an important tool for copyright protection, various watermarking schemes have been proposed in literature. Among them image watermarking using bidimensional empirical mode decomposition (EMD) is a newly developed method. In this review paper a comparison of EMD based methods of image watermarking is done. The use of Bidimensional Empirical Mode Decomposi...

Gearbox is an important mechanical device to transmit power. In order to ensure the normal operation of gearbox under the condition of top load, high efficiency and high precision, it’s necessary to extract fault feature information using signal processing method and to further analyze and research gearbox fault. In the paper an improved de-noising method based on de-noising of singular value d...