removal of artifacts from bio-signals is a necessary step before automatic processing and obtaining clinical information. recently, many applications of empirical mode decomposition (emd) on biomedical researches have been presented that artifact reduction from bio-signals is one of them. emd separates a time series into finite numbers of its individual oscillations, which are called intrinsic ...

Empirical Mode Decomposition (EMD) is a tool for the analysis of multi-component signals. The EMD algorithm decomposes adaptively a given oscillation modes namely the functions of intrinsic mode (IMFs) extracted from the signal itself signal. The analysis method is no need for a basic function fixed a priori as conventional analytical methods (eg Fourier transform and the wavelet transform). In...

skin aging is a continuous process that exhibits fine and deep wrinkles, thin and transparent skin, loss of underlying fat, dry skin and itch, following decreased collagen and elastin  synthesis. both extrinsic and intrinsic agents are considered in the pathogenesis on skin aging. extrinsic factors such as sun exposure, windy and dry weather, nutrition, and lifestyle may induce premature aging,...

this paper introduces an indirect adaptive fuzzy sliding mode controller as a power system stabilizer for damping local and inter-area modes of oscillations of multi-machine power systems. this controller is designed based on the combination of sliding mode controller and the fuzzy logic systems. the fuzzy systems are used to approximate the unknown functions of power system model. generator sp...

Underwater acoustic signal has the non-linear and non-stationary characteristics. Aiming at the issue on noise reduction of underwater acoustic signal, an adaptive noise reduction method of ship-radiated noise based on noiseassisted bivariate empirical mode decomposition is proposed. Firstly, a two-dimensional complex data is built by using one-dimensional real signal and adding Gaussian white ...

In this article, a new structure is presented for MOS (Metal Oxide Semiconductor)-like junctionless carbon nanotube field effect transistor (MOS-like J-CNTFET), in which dual material gate with different work-functions are used. In the aforementioned structure, the size of the gates near the source and the drain are 14 and 6 nm, respectively, and the work-functions are equal and 0.5 eV less tha...

Prediction of nonlinear and nonstationary time series datasets can be achieved by using support vector regression. To improve the accuracy, we propose a new model ‘averaging intrinsic mode function’ which is a derivative of empirical mode decomposition to filter datasets of an exchange rate, followed by using a new algorithm of multiclass Support Vector Regression (SVR) for prediction. Simulati...

In the fault diagnosis system using empirical mode decomposition (EMD), it is important to select the intrinsic mode functions (IMFs) which contain as much fault information as possible and to alleviate the problems of mode mixing and spurious modes. An effective solution to these problems in the decomposition process can help to determine significant IMFs and to improve the performance of the ...