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Toplam kayıt 300, listelenen: 241-250
Epilepsy detection using Empirical Mode Decomposition and detrended Fluctuation Analysis
(IEEE, 2015)
In this study, a new method is presented to analyze electroencephalography (EEG) signals by deploying recently proposed adaptive and data driven signal processing method called Empirical Mode Decomposition (EMD). The EMD ...
Analysis of EEG Signals by Emprical Mode Decomposition and Mutual Information
(IEEE, 2013)
Empirical mode decomposition has been recently proposed to analyze non-stationary signals. It decomposes the signal into intrinsic mode functions (IMF) which are derived from the signal itself. However, it is still an ...
Random subspace method with class separability weighting
(Wiley, 2016)
The random subspace method (RSM) is one of the ensemble learning algorithms widely used in pattern classification applications. RSM has the advantages of small error rate and improved noise insensitivity due to ensemble ...
Adaptive Multichannel Sequential Lattice Prediction Filtering Method For Cognitive Radio Spectrum Sensing in Subbands
(IEEE, 2012)
A multichannel characterization for autoregressive moving average(ARMA) spectrum estimation in subbands with applications to cognitive radio spectrum sensing is considered in this presentation. The fullband ARMA spectrum ...
ECG signal analysis based on variational mode decomposition and bandwidth property
(IEEE, 2016)
In this paper, the bandwidth properties of the modes obtained using the variational mode decomposition (VMD) are analyzed to detect arrhythmia electrocardiogram (ECG) beats. The VMD is an enhanced version of the empirical ...
EOG denoising using empirical mode decomposition and detrended fluctuation analysis
(IEEE, 2014)
In this study, a method is presented for the removal of electrooculogram (EOG) noise from electroencephalography (EEG) recordings by using recently proposed data driven approach called Empirical Mode Decomposition (EMD). ...
Compression of Hyperspectral Images using Adaptive Luminance Transform
(IEEE, 2018)
In this paper, compression of hyperspectral images with luminance transform is explained. First, similar image bands are grouped on hyperspectral image and luminance transform is performed independently on these groups. ...
An overview of wire arc additive manufacturing (WAAM) in shipbuilding industry
(Taylor & Francis Ltd, 2020)
Increasing competition in the international shipbuilding industry pushes the naval architect's pressure to reduce the costs of design and manufacturing of new buildings. Using newly developed Additive Manufacturing (AM) ...
An Integrated Approach to Increase Marine Transportation Safety in Harbor Areas
(Marine Technology Soc Inc, 2017)
The importance of marine transportation safety in harbors and waterways access has become a very serious governmental concern in recent years, with the holding of special conferences on major marine disasters, increasing ...
Modeling of twin-turbine systems with vertical axis tidal current turbine: Part II-torque fluctuation
(Pergamon-Elsevier Science Ltd, 2011)
We recently showed the advantage of using a numerical system to extract energy from tidal currents by developing a new twin-turbine model (Li and Calisal, 2010a). Encouraged by this result, we decided to use this model to ...