Describing the movement of molecules in reduced-dimension models [PDF]
Communications Biology, 2021 Natasha Savage develops a general finite difference method for modeling 2D diffusion using a 1D reduced model. This method can be useful to improve the accuracy of many reduced-dimension models while retaining benefits of system simplification.
Natasha S. Savage
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A Finite Element Reduced-Dimension Method for Viscoelastic Wave Equation [PDF]
Mathematics, 2022 In this study, we mainly employ a proper orthogonal decomposition (POD) to lower the dimension for the unknown Crank–Nicolson finite element (FE) (CNFE) solution coefficient vectors of the viscoelastic wave (VW) equation so as to build a reduced ...
Zhendong Luo
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Clonal evolution characteristics and reduced dimension prognostic model for non-metastatic metachronous bilateral breast cancer [PDF]
Frontiers in Oncology, 2022 BackgroundHow to evaluate the prognosis and develop overall treatment strategies of metachronous bilateral breast cancer (MBBC) remains confused in clinical.
Lingyu Li +13 more
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An Improved Reduced-Dimension Robust Capon Beamforming Method Using Krylov Subspace Techniques [PDF]
SensorsA reduced-dimension robust Capon beamforming method using Krylov subspace techniques (RDRCB) is a diagonal loading algorithm with low complexity, fast convergence and strong anti-interference ability.
Xiaolin Wang, Xihai Jiang, Yaowu Chen
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Sparse Array Angle Estimation Using Reduced-Dimension ESPRIT-MUSIC in MIMO Radar [PDF]
The Scientific World Journal, 2013 Sparse linear arrays provide better performance than the filled linear arrays in terms of angle estimation and resolution with reduced size and low cost. However, they are subject to manifold ambiguity.
Chaozhu Zhang, Yucai Pang
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Noncircular Distributed Source DOA Estimation with Nested Arrays via Reduced-Dimension MUSIC [PDF]
SensorsThis paper focuses on the direction-of-arrival (DOA) estimation for noncircular coherently distributed (CD) sources with nested arrays. Usually, for point sources, sparse arrays have the potential to improve the estimation performance of algorithms by ...
Kaiyuan Chen, Weiyang Chen, Jiaqi Li
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REDEMPTION: reduced dimension ensemble modeling and parameter estimation. [PDF]
Bioinformatics, 2015 Abstract Summary: Here, we present REDEMPTION (Reduced Dimension Ensemble Modeling and Parameter estimation), a toolbox for parameter estimation and ensemble modeling of ordinary differential equations (ODEs) using time-series data.
Liu Y, Manesso E, Gunawan R.
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Reduced Dimension Based Two-Dimensional DOA Estimation with Full DOFs for Generalized Co-Prime Planar Arrays [PDF]
Sensors, 2018 In this paper, we investigate the problem of two-dimensional (2D) direction-of-arrival (DOA) estimation for generalized co-prime planar arrays. The classic multiple signal classification (MUSIC)-based methods can provide a superior estimation performance,
Fenggang Sun, Peng Lan, Guowei Zhang
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Modelling, 2023 Complex engineering models are typically computationally demanding and defined by a high-dimensional parameter space challenging the comprehensive exploration of parameter effects and design optimization.
Corey Arndt +4 more
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Dimension-reduced bi-iterative space–time adaptive processing method for airborne radar
The Journal of Engineering, 2019 A novel bi-iterative dimension-reduced space–time adaptive processing (STAP) algorithm for clutter suppression and moving target detection in airborne radar system is proposed.
Yuxiang Wang, Xiaoming Li, Wei Gao
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