Results 11 to 20 of about 910,199 (344)
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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The 2D Spectral Intrinsic Decomposition Method Applied to Image Analysis [PDF]
Journal of Electrical and Computer Engineering, 2017 We propose a new method for autoadaptive image decomposition and recomposition based on the two-dimensional version of the Spectral Intrinsic Decomposition (SID).
Samba Sidibe +4 more
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Spectral Intrinsic Decomposition Method for Adaptive Signal Representation
ISRN Signal Processing, 2012 International audienceIn this paper we propose a new method called Spectral Intrinsic Decomposition (SID) for the representation of non-linear signals.
Thioune, Abdoulaye +3 more
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Domain Decomposition Spectral Method Applied to Modal Method: Direct and Inverse Spectral Transforms
Sensors, 2022 We introduce a Domain Decomposition Spectral Method (DDSM) as a solution for Maxwell’s equations in the frequency domain. It will be illustrated in the framework of the Aperiodic Fourier Modal Method (AFMM).
Kofi Edee +8 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 This article proposes an efficient and high-fidelity panchromatic (PAN) spectral decomposition method based on smoothing filtering for multispectral (MS) and hyperspectral (HS) image pansharpening.
Mi Wang +5 more
doaj +2 more sources
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
D. Yong, Elizabeth Lee, Xia Yu, C. Chan
semanticscholar +4 more sources
The accuracy of spectral decomposition methods
Proceedings, 2013 In the context of exploration seismology the resolution of spectral decomposition techniques has been extensively reviewed but the accuracy of these methods has only been discussed qualitatively in regards to the resolution.
J.A. Beckwith, Beckwith, JA
core +3 more sources
Spectral Decomposition Representation for Reinforcement Learning [PDF]
International Conference on Learning Representations, 2022 Representation learning often plays a critical role in reinforcement learning by managing the curse of dimensionality. A representative class of algorithms exploits a spectral decomposition of the stochastic transition dynamics to construct ...
Tongzheng Ren +5 more
semanticscholar +1 more source
Domain decomposition preconditioners for the spectral collocation method [PDF]
Journal of Scientific Computing, 1988 This paper proposes and analyzes several block iteration preconditioners for the solutions of elliptic problems by spectral collocation methods in a region partitioned into several rectangles. One considers a spectral collocation approximation which consists of collocating differential equations at Gaussian collocation points; and then a variational ...
QUARTERONI, ALFIO MARIA +1 more
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Image-Domain Based Material Decomposition by Multi-Constraint Optimization for Spectral CT
IEEE Access, 2020 As a new generation computed tomography (CT) technology, spectral CT has great potential in many aspects, especially in the identification and decomposition of materials.
Jian Feng +3 more
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