Results 11 to 20 of about 68,160 (260)

Spectral decomposition with monotonic spectral resolvents [PDF]

open access: yesTransactions of the American Mathematical Society, 1983
The spectral decomposition problem of a Banach space over the complex field entails two kinds of constructive elements: (1) the open sets of the field and (2) the invariant subspaces (under a given linear operator) of the Banach space. The correlation between these two structures, in the framework of a spectral decomposition, is the spectral resolvent ...
Erdelyi, Ivan, Wang, Shengwang
openaire   +1 more source

Spectral Tensor-Train Decomposition [PDF]

open access: yesSIAM Journal on Scientific Computing, 2016
The accurate approximation of high-dimensional functions is an essential task in uncertainty quantification and many other fields. We propose a new function approximation scheme based on a spectral extension of the tensor-train (TT) decomposition. We first define a functional version of the TT decomposition and analyze its properties. We obtain results
Daniele Bigoni   +2 more
openaire   +4 more sources

The spectral decomposition of $$|\theta |^2$$ [PDF]

open access: yesMathematische Zeitschrift, 2020
Abstract Let $$\theta $$ θ be an elementary theta function, such as the classical Jacobi theta function. We
openaire   +3 more sources

The Langlands Spectral Decomposition [PDF]

open access: yes, 2021
This is a draft version of an invited article for a forthcoming book `The genesis of Langlands Program', eds. Julia Mueller and Freydoon Shahidi, which will be published by Cambridge University Press. This is a survey of Langlands spectral decomposition theorem based on the meromorphic continuation of Eisenstein series and intertwining operators that ...
openaire   +2 more sources

Image-Domain Based Material Decomposition by Multi-Constraint Optimization for Spectral CT

open access: yesIEEE 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
doaj   +1 more source

Model parameter estimations of the multi-channel turbulence response from flutter flight tests based on autoregressive spectra

open access: yesJournal of Low Frequency Noise, Vibration and Active Control, 2023
Signal processing of flutter flight test data enables verification of aircraft flutter design, and the signal from a flutter flight test excited by atmospheric turbulence is a particularly important form of the flutter test.
Shiqiang Duan, Hua Zheng
doaj   +1 more source

Smoothing Filter-Based Panchromatic Spectral Decomposition for Multispectral and Hyperspectral Image Pansharpening

open access: yesIEEE 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   +1 more source

Seismic Attribute Analyses and Attenuation Applications for Detecting Gas Hydrate Presence

open access: yesGeosciences, 2021
Identifying gas hydrates in the oceanic subsurface using seismic reflection data supported by the presence of a bottom simulating reflector (BSR) is not an easy task, given the wide range of geophysical methods that have been applied to do so. Though the
Roberto Clairmont   +3 more
doaj   +1 more source

Ridge-type spectral decomposition estimators in mixed effects models with stochastic restrictions

open access: yes上海师范大学学报. 自然科学版, 2016
This paper proposes a new estimation of fixed effects in linear mixed models with stochastic restrictions,which is called a conditional ridge-type spectral decomposition estimator.Using the mean squared error matrix and generalized mean squared error as ...
ZHENG Lu, YUE Rongxian, CHENG Jing
doaj   +1 more source

Hyperspectral Compressive Image Reconstruction With Deep Tucker Decomposition and Spatial–Spectral Learning Network

open access: yesIEEE 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
doaj   +1 more source

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