Results 21 to 30 of about 12,117,820 (296)
Improving subband spectral estimation using modified AR model [PDF]
, 2007 It has already been shown that spectral estimation can be improved when applied to subband outputs of an adapted filterbank rather than to the original fullband signal.
Bonacci, David, Mailhes, Corinne
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Hyperspectral compressive imaging has taken advantage of compressive sensing theory to capture spectral information of the dynamic world in recent decades of years, where an optical encoder is employed to compress high dimensional signals into a single 2-
Hao Xiang +6 more
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In-fiber fluorospectroscopy based on a spectral decomposition method
Optics Express, 2014 We report a simplified model for the computation of light-fluorescence interactions within photonic crystal fibers (PCFs). It involved the plotting of ray trajectories confined by total internal reflection within a geometrically simplified PCF core. This was followed by the calculation of absorption and fluorescence emission at each point of reflection,
Yong, Derrick +3 more
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Spectral decomposition of thermal conductivity: Comparing velocity decomposition methods in homogeneous molecular dynamics simulations [PDF]
Physical Review B, 2021 19 Pages, 8 ...
Gabourie, Alexander J. +4 more
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Improved EMD Using Doubly-Iterative Sifting and High Order Spline Interpolation [PDF]
, 2008 Empirical mode decomposition (EMD) is a signal analysis method which has received much attention lately due to its application in a number of fields. The main disadvantage of EMD is that it lacks a theoretical analysis and, therefore, our understanding ...
Yannis Kopsinis +4 more
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Science and Technology of Advanced Materials, 2020 We develop an automatic peak fitting algorithm using the Bayesian information criterion (BIC) fitting method with confidence-interval estimation in spectral decomposition.
Hiroshi Shinotsuka +5 more
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Tensor-Based Low-Rank and Sparse Prior Information Constraints for Hyperspectral Image Denoising
IEEE Access, 2020 Hyperspectral data have been widely used in various fields due to its rich spectral and spatial information in recent years. Yet, hyperspectral images are always tainted by a variety of mixed noises.
Guxi Wang +5 more
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A flexible spectral modification method based on temporal decomposition and Gaussian mixture model [PDF]
, 2009 Manipulating spectral structure often leads to degradation of speech quality, which is mainly due to insufficient smoothness of the modified spectra between frames, and ineffective spectralmodification.
Masato Akagi +3 more
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Hyperspectral and Multispectral Image Fusion Using Coupled Non-Negative Tucker Tensor Decomposition
Remote Sensing, 2021 Fusing a low spatial resolution hyperspectral image (HSI) with a high spatial resolution multispectral image (MSI), aiming to produce a super-resolution hyperspectral image, has recently attracted increasing research interest.
Marzieh Zare +3 more
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, 2020 The concentration of MgO is one of the most important parameters in the phosphate ore flotation. The fast detection of the concentration of MgO has great significance for the optimization of the flotation, the improvement of the efficiency and the ...
Sun Lan-xiang +4 more
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