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Published in 2019 at "Journal of Signal Processing Systems"
DOI: 10.1007/s11265-018-1427-y
Abstract: Massive multiple-input multiple-output (M-MIMO) technique brings better energy efficiency and coverage but higher computational complexity than small-scale MIMO. For linear detections such as minimum mean square error (MMSE), prohibitive complexity lies in solving large-scale linear…
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Keywords:
complexity;
mimo;
residual based;
rbd algorithms ... See more keywords
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Published in 2021 at "Aerospace Science and Technology"
DOI: 10.1016/j.ast.2021.106649
Abstract: Abstract This paper presents the introduction, investigation, and critical assessment of three data-driven statistical residual-based time series methods for rotor fault detection and identification (FDI) in multicopters. A concise overview of statistical residual-based FDI methods…
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Keywords:
time;
time series;
identification;
residual based ... See more keywords
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Published in 2021 at "Computer Methods in Applied Mechanics and Engineering"
DOI: 10.1016/j.cma.2021.113931
Abstract: Abstract This paper presents a locally and dynamically adaptive residual-based closure model for density stratified incompressible flows. The method is based on the three-level form of the Variational Multiscale (VMS) modeling paradigm applied to the…
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Keywords:
fine scale;
closure model;
based closure;
level ... See more keywords
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Published in 2019 at "Nuclear Engineering and Design"
DOI: 10.1016/j.nucengdes.2019.04.006
Abstract: Abstract The traditional scientific process has been revolutionized by the advent of computational modeling, but the nuclear industry generally uses “legacy codes,” which were developed early in the evolution of computers. One example of a…
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Keywords:
ctf novel;
novel residual;
based thermal;
ctf ... See more keywords
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Published in 2019 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2019.1657865
Abstract: ABSTRACT This study considers the problem of testing for a parameter change in integer-valued time series models in which the conditional density of current observations is assumed to follow a Poisson distribution. As a test,…
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Keywords:
cusum squares;
integer valued;
poisson;
residual based ... See more keywords
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Published in 2021 at "Mechanics of Advanced Materials and Structures"
DOI: 10.1080/15376494.2021.1980923
Abstract: In the computational damage mechanics, the coupled elastoplastic damage model involves a nonsymmetric tangent operator. This implies that a sparse matrix solver is needed, which means more computat...
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Keywords:
coupled elastoplastic;
residual based;
elastoplastic damage;
damage ... See more keywords
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Published in 2018 at "Ima Journal of Numerical Analysis"
DOI: 10.1093/imanum/drx024
Abstract: We introduce a residual-based a posteriori error estimator for contact problems in two and three dimensional linear elasticity, discretized with linear and quadratic finite elements and Nitsche's method. Efficiency and reliability of the estimator are…
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Keywords:
nitsche method;
residual based;
based posteriori;
contact problems ... See more keywords
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Published in 2022 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2022.3145187
Abstract: Plug-and-play alternating direction method of multiplier (PnP-ADMM) can be used to solve the magnetic resonance imaging (MRI) reconstruction problem, which allows plugging the pre-trained denoiser to solve the denoising-like subproblem in ADMM. Many researchers explore…
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Keywords:
residual based;
plug play;
truncated residual;
admm ... See more keywords
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Published in 2020 at "Educational and Psychological Measurement"
DOI: 10.25384/sage.c.5058815.v1
Abstract: Researchers frequently use Rasch models to analyze survey responses because these models provide accurate parameter estimates for items and examinees when there are missing data. However, researche...
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Keywords:
exploring impact;
residual based;
missing data;
impact missing ... See more keywords