Ara
Toplam kayıt 47, listelenen: 31-40
The Impact of Developed Energy Efficiency Model on Vessel Valuation
(Springer, 2018)
[No Abstract Available]
Hilbert-Huang Transform Based Hierarchical Clustering For Eeg Denoising
(IEEE, 2013)
Empirical mode decomposition (EMD) is a recently introduced decomposition method for non-stationary time series. The sum of the decomposed intrinsic mode functions (IMF) can be used to reconstruct the original signal. ...
Adaptive Multichannel Sequential Lattice Prediction Filtering Method for Range Estimation in Cognitive Radios
(IEEE, 2014)
A range estimation method 14 cognitive MIMO-OFDM radio systems is considered in this presentation. The range estimation problem is formulated as time delay estimation problem, and then adapted as multiple channel estimation ...
Detrended Fluctuation Analysis For Empirical Mode Decomposition Based Denoising
(IEEE, 2014)
Empirical mode decomposition (EMD) is a recently proposed method to analyze non-linear and non-stationary time series by decomposing them into intrinsic mode functions (IMFs). One of the most popular application of such a ...
PAAm-Kappa Carrageenan Composites: Drying and Swelling with Various Kappa Carrageenan Contents
(Polish Acad Sciences Inst Physics, 2012)
The purpose of this study is to discuss the role of kappa-carrageenan (kappa-car) in the drying and swelling of polyacrylamide (PAAm)-kappa-car composite. The fluorescence intensity of pyranine increased and decreased as ...
Adaptive V-BLAST Type Channel Equalizer Design for Cognitive MIMO-OFDM Radios
(IEEE, 2013)
A channel shortening equalizer design for cognitive Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing (MIMO-OFDM) communication systems is considered in this presentation. The proposed receiver ...
Sequential Combinations of Multiple Adaptive Lattice Filters in Cognitive Radio Channel Identification
(IEEE, 2017)
Sequential convex combinations of multiple adaptive lattice filters using different exponential weighting factors in cognitive radio channel identification framework have been considered in this presentation. First, the ...
Breast Cancer Classification by Using Support Vector Machines with Reduced Dimension
(Croatian Society Electronics Marine, 2011)
Correct and timely diagnosis of diseases is an essential matter in medical field. Limited human capability and limitations decrease the rate of correct diagnosis. Machine learning algorithms such as support vector machine ...
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 ...
A Framework of Economic and Environmental Assessment of Solar Energy Water Heating System for Public Buildings
(Springer, 2018)
[No Abstract Available]