Ara
Toplam kayıt 22, listelenen: 1-10
Effects of Hyperspectral Image Compression Methods on Classification
(IEEE, 2018)
Because of having large data size in hyperspectral imaging, compression becomes an important necessity in terms of the transmission and storage of the data. There are several compression approaches proposed in the literature, ...
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 ...
CMS Collaboration
(Elsevier B.V., 2016)
[No abstract available]
Compression of hyperspectral images using adaptive luminance transform
(Institute of Electrical and Electronics Engineers Inc., 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. ...
Effect of temperature and graphene oxide on the swelling of PAAm-GO composite gels
(Avestia Publishing, 2019)
Graphene oxide (GO) is a two dimensional carbon material with similar one-atom thickness, and is a light material having extremely high strength and thermal stability [1]. Thus, GO is an efficient filler for the enhancement ...
Effects of hyperspectral image compression methods on classification
(Institute of Electrical and Electronics Engineers Inc., 2018)
Because of having large data size in hyperspectral imaging, compression becomes an important necessity in terms of the transmission and storage of the data. There are several compression approaches proposed in the literature, ...