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Toplam kayıt 17, listelenen: 11-17
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. ...
Combination of Approximate l(0)-Norm Regularized Multiple Adaptive Lattice Filters in Sparse Cogntive Radio Coannel Identification
(IEEE, 2020)
A priori recursive least squares (RLS) lattice algorithm has been regularized by adding an approximation of 10-norm constraint penalty term to the cost function so as to introduce sparsity awareness to the prenously proposed ...
Combinations of Multiple Adaptive Lattice Filters in Sparse Cognitive Radio Channel Identification
(IEEE, 2019)
Sparsity awareness feature has been introduced into the a priori recursive least squares (RLS) lattice algorithm by regularizing the RLS cost function with the addition of l(1)-norm constraint penalty term. The newly ...
Modeling, Simulation and Analysis of Bipolar Driven BLDC Motor
(Institute of Electrical and Electronics Engineers Inc., 2021)
This article reviews modeling, simulation, and performance of a bipolar driven BLDC motor. The study aims to contribute to the performance analysis of the motor by suggesting a detailed model of the considered BLDC motor ...