Ara
Toplam kayıt 754, listelenen: 51-60
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 ...
Sequential convex combinations of multiple adaptive lattice filters in cognitive radio channel identification
(Springer, 2018)
Sequential convex combinations of multiple adaptive lattice filters using different exponential weighting factors in cognitive radio (CR) channel identification framework have been considered in this presentation. First, ...
Adaptive reconfigurable V-BLAST type equalizer for cognitive MIMO-OFDM radios
(Springer, 2015)
An adaptive channel shortening equalizer design for multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) radio receivers is considered in this presentation. The proposed receiver has desirable ...
Breast Cancer Detection with Reduced Feature Set
(Hindawi Ltd, 2015)
This paper explores feature reduction properties of independent component analysis (ICA) on breast cancer decision support system. Wisconsin diagnostic breast cancer (WDBC) dataset is reduced to one-dimensional feature ...
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). ...
A test and simulation device for Doppler-based fetal heart rate monitoring
(Tubitak Scientific & Technical Research Council Turkey, 2015)
The Doppler effect is the preferred technique in fetal heart rate (FHR) monitoring devices. The main objective of the recent studies on the Doppler FHR has been to improve the accuracy. On the other hand, a reliable fetal ...