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Journal articles on the topic 'Adaptive snapshots'

Author: Grafiati

Published: 29 August 2023

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1

YU, Jing, and Yaan LI. "Adaptive Beamforming with Inadequate Snapshots." Journal of Physics: Conference Series 787 (January 2017): 012025. http://dx.doi.org/10.1088/1742-6596/787/1/012025.

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Liao, Zhipeng, Keqing Duan, Jinjun He, Zizhou Qiu, and Binbin Li. "Robust Adaptive Beamforming Based on a Convolutional Neural Network." Electronics 12, no. 12 (2023): 2751. http://dx.doi.org/10.3390/electronics12122751.

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To address the advancements in jamming technology, it is imperative to consider robust adaptive beamforming (RBF) methods with finite snapshots and gain/phase (G/P) errors. This paper introduces an end-to-end RBF approach that utilizes a two-stage convolutional neural network. The first stage includes convolutional blocks and residual blocks without downsampling; the blocks assess the covariance matrix precisely using finite snapshots. The second stage maps the first stage’s output to an adaptive weight vector employing a similar structure to the first stage. The two stages are pre-trained wit

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Wu, Xun, Jie Luo, Guowei Li, Shurui Zhang, and Weixing Sheng. "Fast Wideband Beamforming Using Convolutional Neural Network." Remote Sensing 15, no. 3 (2023): 712. http://dx.doi.org/10.3390/rs15030712.

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With the wideband beamforming approaches, the synthetic aperture radar (SAR) could achieve high azimuth resolution and wide swath. However, the performance of conventional adaptive wideband time-domain beamforming is severely affected as the received signal snapshots are insufficient for adaptive approaches. In this paper, a wideband beamformer using convolutional neural network (CNN) method, namely, frequency constraint wideband beamforming prediction network (WBPNet), is proposed to obtain a satisfactory performance in the circumstances of scanty snapshots. The proposed WBPNet successfully e

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Gong, C., L. Huang, D. Xu, and Z. Ye. "Knowledge‐aided robust adaptive beamforming with small snapshots." Electronics Letters 49, no. 20 (2013): 1258–59. http://dx.doi.org/10.1049/el.2013.2198.

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Brooker, D. J., Kay L. Gemba, and Laurie T. Fialkowski. "Overcoming snapshot-deficient measurements with knowledge-aided approaches." JASA Express Letters 2, no. 5 (2022): 054804. http://dx.doi.org/10.1121/10.0010455.

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The use of knowledge-aided covariance is considered for processing underwater acoustic array data in snapshot-deficient scenarios. The knowledge-aided formalism is a technique that combines array data with a known covariance to produce an invertible estimate. For underwater acoustics, simulations of ambient noise provide the a priori covariance allowing degraded signals to be processed adaptively in situations where the sample covariance matrix is rank-deficient. The method is demonstrated for matched field processing using the 21 element array event S5 from the SWellEx-96 experiment. With fiv

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Sun, Xu, and Ranwei Li. "Robust adaptive beamforming method for active sonar in single snapshot." MATEC Web of Conferences 283 (2019): 03006. http://dx.doi.org/10.1051/matecconf/201928303006.

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Forming narrow beams is a useful way for active sonar to anti-reverberation when it works in the shallow water. High-resolution adaptive beamforming with the performance of narrow beamwidths and low sidelobe levels is a better and more efficient method, particularly in the scenario where the installation space for sonar array is limited, such as hull-mounted sonar. Due to the short duration of target echo signal in the complex and varying acoustic channel, conventional adaptive beamforming methods are invalid. Therefore, this paper proposes a robust adaptive beamforming method for active sonar

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Wang, He, Ting Zhang, Lei Cheng, and Hangfang Zhao. "Snapshot-deficient active target localization in beam-time domain using multi-frequency expectation-maximization algorithm." Journal of the Acoustical Society of America 153, no. 2 (2023): 990–1003. http://dx.doi.org/10.1121/10.0017164.

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The two-dimensional (2D) active target localization is generally hindered by the high temporal and spatial sidelobe levels in snapshot-deficient scenarios, where the adaptive approaches undergo performance degeneration since they require many snapshots to build the sample covariance matrix. Aiming at working robustly in snapshot-deficient active scenarios, a 2D expectation-maximization-based vertical-time-record (EMVTR) approach is proposed to compensate for the snapshot deficiency and achieve the high-resolution active localization by reconstructing the covariance matrix using estimated hyper

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Ullmann, Sebastian, Marko Rotkvic, and Jens Lang. "POD-Galerkin reduced-order modeling with adaptive finite element snapshots." Journal of Computational Physics 325 (November 2016): 244–58. http://dx.doi.org/10.1016/j.jcp.2016.08.018.

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Li, Hongtao, Ke Wang, Chaoyu Wang, Yapeng He, and Xiaohua Zhu. "Robust Adaptive Beamforming Based on Worst-Case and Norm Constraint." International Journal of Antennas and Propagation 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/765385.

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A novel robust adaptive beamforming based on worst-case and norm constraint (RAB-WC-NC) is presented. The proposed beamforming possesses superior robustness against array steering vector (ASV) error with finite snapshots by using the norm constraint and worst-case performance optimization (WCPO) techniques. Simulation results demonstrate the validity and superiority of the proposed algorithm.

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Cui, Weichen, Tong Wang, Degen Wang, and Kun Liu. "An Efficient Sparse Bayesian Learning STAP Algorithm with Adaptive Laplace Prior." Remote Sensing 14, no. 15 (2022): 3520. http://dx.doi.org/10.3390/rs14153520.

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Space-time adaptive processing (STAP) encounters severe performance degradation with insufficient training samples in inhomogeneous environments. Sparse Bayesian learning (SBL) algorithms have attracted extensive attention because of their robust and self-regularizing nature. In this study, a computationally efficient SBL STAP algorithm with adaptive Laplace prior is developed. Firstly, a hierarchical Bayesian model with adaptive Laplace prior for complex-value space-time snapshots (CALM-SBL) is formulated. Laplace prior enforces the sparsity more heavily than Gaussian, which achieves a better

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Lyu, Jiancheng, Jack Xin, and Yifeng Yu. "Computing Residual Diffusivity by Adaptive Basis Learning via Spectral Method." Numerical Mathematics: Theory, Methods and Applications 10, no. 2 (2017): 351–72. http://dx.doi.org/10.4208/nmtma.2017.s08.

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AbstractWe study the residual diffusion phenomenon in chaotic advection computationally via adaptive orthogonal basis. The chaotic advection is generated by a class of time periodic cellular flows arising in modeling transition to turbulence in Rayleigh-Bénard experiments. The residual diffusion refers to the non-zero effective (homogenized) diffusion in the limit of zero molecular diffusion as a result of chaotic mixing of the streamlines. In this limit, the solutions of the advection-diffusion equation develop sharp gradients, and demand a large number of Fourier modes to resolve, rendering

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12

Liu, Beiyi, Guan Gui, Shin-ya Matsushita, and Li Xu. "Adaptive filtering algorithm for direction-of-arrival (DOA) estimation with small snapshots." Digital Signal Processing 94 (November 2019): 84–95. http://dx.doi.org/10.1016/j.dsp.2019.07.014.

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13

Xi, Zaifang, Xiao-feng Wu, Shuyue Wu, Zhijun Tang, and Shigang Hu. "Low-Complexity Robust Capon Beamforming Based on Reduced-Rank Technique." Journal of Electrical and Computer Engineering 2015 (2015): 1–6. http://dx.doi.org/10.1155/2015/583075.

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Existing robust Capon beamformers achieve robustness against steering vector errors at a high cost in terms of computational complexity. Computationally efficient robust Capon beamforming approach based on the reduced-rank technique is proposed in this paper. The proposed method projects the received data snapshots onto a lower dimensional subspace consisting of the matched filters of the multistage Wiener filter (MSWF). The subsequent adaptive beamforming will then be performed within this subspace. The combination of the benefit of the robust adaptive beamforming and the reduced-rank techniq

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Wang, Wei, Lin Zou, and Xuegang Wang. "A Novel Two-Level Nested STAP Strategy for Clutter Suppression in Airborne Radar." Mathematical Problems in Engineering 2019 (June 4, 2019): 1–16. http://dx.doi.org/10.1155/2019/2540858.

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Nested arrays have been studied recently in array signal processing field because of their closed-form expressions for the sensor locations and achievable degrees of freedom (DOFs). In this paper, the concept of nesting is further extended to space-time adaptive processing (STAP). Different from the traditional uniform-STAP method that calculates the clutter plus noise covariance matrix (CNCM) and performs the STAP filter direct using the data snapshots collected from the uniform linear array (ULA) and the transmitting pulses with uniform pulse repetition interval (PRI), we present a new optim

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15

Shahab, Suhail Najm, Ayib Rosdi Zainun, Balasim S. S., Nurul Hazlina Noordin, and Izzeldin Ibrahim Mohamed. "Evaluation of Minimum Variance Distortionless Response Beamforming Algorithm Based Circular Antenna Arrays." Modern Applied Science 11, no. 1 (2016): 1. http://dx.doi.org/10.5539/mas.v11n1p1.

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Wireless data traffic is in a continuous growth, and there are increasing demands for wireless systems that provide deep interference suppression and noise mitigation. In this paper, adaptive beamforming (ABF) technique for Smart Antenna System (SAS) based on Minimum Variance Distortionless Response (MVDR) algorithm connected toCircular Antenna Array (CAA) is discussed and analyzed. The MVDR performance is evaluated by varying various parameters; namely the number of antenna elements, space separation between the elements, the number of interference sources, noise power label, and a number of

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Bonizzoni, Francesca, Davide Pradovera, and Michele Ruggeri. "Rational-approximation-based model order reduction of Helmholtz frequency response problems with adaptive finite element snapshots." Mathematics in Engineering 5, no. 4 (2023): 1–38. http://dx.doi.org/10.3934/mine.2023074.

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<abstract><p>We introduce several spatially adaptive model order reduction approaches tailored to non-coercive elliptic boundary value problems, specifically, parametric-in-frequency Helmholtz problems. The offline information is computed by means of adaptive finite elements, so that each snapshot lives in a different discrete space that resolves the local singularities of the analytical solution and is adjusted to the considered frequency value. A rational surrogate is then assembled adopting either a least-squares or an interpolatory approach, yielding a function-valued version o

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Kilic, Zeliha, Max Schweiger, Camille Moyer, and Steve Pressé. "Monte Carlo samplers for efficient network inference." PLOS Computational Biology 19, no. 7 (2023): e1011256. http://dx.doi.org/10.1371/journal.pcbi.1011256.

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Accessing information on an underlying network driving a biological process often involves interrupting the process and collecting snapshot data. When snapshot data are stochastic, the data’s structure necessitates a probabilistic description to infer underlying reaction networks. As an example, we may imagine wanting to learn gene state networks from the type of data collected in single molecule RNA fluorescence in situ hybridization (RNA-FISH). In the networks we consider, nodes represent network states, and edges represent biochemical reaction rates linking states. Simultaneously estimating

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Peng, Xing, Xinwu Li, Changcheng Wang, Haiqiang Fu, and Yanan Du. "A Maximum Likelihood Based Nonparametric Iterative Adaptive Method of Synthetic Aperture Radar Tomography and Its Application for Estimating Underlying Topography and Forest Height." Sensors 18, no. 8 (2018): 2459. http://dx.doi.org/10.3390/s18082459.

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Synthetic aperture radar tomography (TomoSAR) is an important way of obtaining underlying topography and forest height for long-wavelength datasets such as L-band and P-band radar. It is usual to apply nonparametric spectral estimation methods with a large number of snapshots over forest areas. The nonparametric iterative adaptive approach for amplitude and phase estimation (IAA-APES) can obtain a high resolution; however, it only tends to work well with a small number of snapshots. To overcome this problem, this paper proposes the nonparametric iterative adaptive approach based on maximum lik

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19

Yang, Zhaocheng, Rui Fa, Yuliang Qin, Xiang Li, and Hongqiang Wang. "Direct Data Domain Sparsity-Based STAP Utilizing Subaperture Smoothing Techniques." International Journal of Antennas and Propagation 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/171808.

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We propose a novel direct data domain (D3) sparsity-based space-time adaptive processing (STAP) algorithm utilizing subaperture smoothing techniques for airborne radar applications. Different from either normal sparsity-based STAP or D3 sparsity-based STAP, the proposed algorithm firstly uses only the snapshot in the cell under test (CUT) to generate multiple subsnapshots by exploiting the space-time structure of the steering vector and the uncorrelated nature of the components of the interference covariance matrix. Since the interference spectrum is sparse in the whole angle-Doppler plane, by

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20

Chan, Ho Yuen, Eric Chung, and Yalchin Efendiev. "Adaptive Mixed GMsFEM for Flows in Heterogeneous Media." Numerical Mathematics: Theory, Methods and Applications 9, no. 4 (2016): 497–527. http://dx.doi.org/10.4208/nmtma.2016.m1603.

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AbstractIn this paper, we present two adaptive methods for the basis enrichment of the mixed Generalized Multiscale Finite Element Method (GMsFEM) for solving the flow problem in heterogeneous media. We develop an a-posteriori error indicator which depends on the norm of a local residual operator. Based on this indicator, we construct an offline adaptive method to increase the number of basis functions locally in coarse regions with large local residuals. We also develop an online adaptive method which iteratively enriches the function space by adding new functions computed based on the residu

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21

Orr, Alastair, Jason Donovan, and Dietmar Stoian. "Smallholder value chains as complex adaptive systems: a conceptual framework." Journal of Agribusiness in Developing and Emerging Economies 8, no. 1 (2018): 14–33. http://dx.doi.org/10.1108/jadee-03-2017-0031.

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Purpose Smallholder value chains are dynamic, changing over time in sudden, unpredictable ways as they adapt to shocks. Understanding these dynamics and adaptation is essential for these chains to remain competitive in turbulent markets. Many guides to value chain development, though they focus welcome attention on snapshots of current structure and performance, pay limited attention to the dynamic forces affecting these chains or to adaptation. The paper aims to discuss these issues. Design/methodology/approach This paper develops an expanded conceptual framework to understand value chain per

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22

NGWA, GIDEON A., WOLDEGEBRIEL A. WOLDEGERIMA, and MIRANDA I. TEBOH-EWUNGKEM. "A MATHEMATICAL STUDY OF THE IMPLICIT ROLE OF INNATE AND ADAPTIVE IMMUNE RESPONSES ON WITHIN-HUMAN PLASMODIUM FALCIPARUM PARASITE LEVELS." Journal of Biological Systems 28, no. 02 (2020): 377–429. http://dx.doi.org/10.1142/s0218339020400069.

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A within-human-host malaria parasite model, integrating key variables that influence parasite evolution-progression-advancement, under innate and adaptive immune responses, is analyzed. The implicit role of immunity on the steady state parasite loads and parasitemia reproduction number ([Formula: see text]), a threshold parameter measuring the parasite’s annexing ability of healthy red blood cells (HRBCs), eventually rendering a human infectious to mosquitoes, is investigated. The impact of the type of recruitment function used to model HRBC growth is also investigated. The model steady states

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Liu, Cheng, Tong Wang, Kun Liu, and Xinying Zhang. "A Novel Sparse Bayesian Space-Time Adaptive Processing Algorithm to Mitigate Off-Grid Effects." Remote Sensing 14, no. 16 (2022): 3906. http://dx.doi.org/10.3390/rs14163906.

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Space-time adaptive processing (STAP) algorithms based on sparse recovery (SR) have been researched because of their low requirement of training snapshots. However, once some portion of clutter is not located on the grids, i.e., off-grid problems, the performances of most SR-STAP algorithms degrade significantly. Reducing the grid interval can mitigate off-grid effects, but brings strong column coherence of the dictionary, heavy computational load, and heavy storage load. A sparse Bayesian learning approach is proposed to mitigate the off-grid effects in the paper. The algorithm employs an eff

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Lin, Weimin, Erlong Ning, Lingyi Yang, Yin Rao, Shuyin Peng, and Qiaowei Li. "Snapshots of Postsynthetic Modification in a Layered Metal–Organic Framework: Isometric Linker Exchange and Adaptive Linker Installation." Inorganic Chemistry 60, no. 16 (2021): 11756–63. http://dx.doi.org/10.1021/acs.inorgchem.1c01341.

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25

Yang, Yanfang, Mohammadreza Ghasemi, Eduardo Gildin, Yalchin Efendiev, and Victor Calo. "Fast Multiscale Reservoir Simulations With POD-DEIM Model Reduction." SPE Journal 21, no. 06 (2016): 2141–54. http://dx.doi.org/10.2118/173271-pa.

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Summary We present a global/local model reduction for fast multiscale reservoir simulations in highly heterogeneous porous media. Our approach identifies a low-dimensional structure in the solution space. We introduce an auxiliary variable (the velocity field) in our model reduction that achieves a high compression of the model. This compression is achieved because the velocity field is conservative for any low-order reduced model in our framework, whereas a typical global model reduction that is based on proper-orthogonal-decomposition (POD) Galerkin projection cannot guarantee local mass con

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Hu, Panhe, Xiaolong Su, and Zhen Liu. "Direction Finding for Passive Bistatic Radar in the Presence of Multipath Propagation." Wireless Communications and Mobile Computing 2022 (December 15, 2022): 1–9. http://dx.doi.org/10.1155/2022/7562517.

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In the case of multipath propagation for passive bistatic radar (PBR) using uncooperative frequency agile-phased array radar as an illuminator, a new direction-finding method is proposed to deal with the scenario where the coherent and uncorrelated signals are closely spaced or in the same direction. Firstly, spatial difference technique is used to eliminate uncorrelated signals. Then, in order to avoid the cross-terms effect and improve the resolution of coherent signal, the iterative adaptive method (IAA) is adopted for the rearranged spatial difference matrix. Finally, the direction of arri

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Hinkley, Sasha. "Adaptive Optics Observations of Exoplanets, Brown Dwarfs, and Binary Stars." Proceedings of the International Astronomical Union 7, S282 (2011): 181–88. http://dx.doi.org/10.1017/s1743921311027293.

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AbstractThe current direct observations of brown dwarfs and exoplanets have been obtained using instruments not specifically designed for overcoming the large contrast ratio between the host star and any wide-separation faint companions. However, we are about to witness the birth of several new dedicated observing platforms specifically geared towards high contrast imaging of these objects. The Gemini Planet Imager, VLT-SPHERE, Subaru HiCIAO, and Project 1640 at the Palomar 5m telescope will return images of numerous exoplanets and brown dwarfs over hundreds of observing nights in the next fiv

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Garaldi, Enrico, Matteo Nori, and Marco Baldi. "Dynamic zoom simulations: A fast, adaptive algorithm for simulating light-cones." Monthly Notices of the Royal Astronomical Society 499, no. 2 (2020): 2685–700. http://dx.doi.org/10.1093/mnras/staa2064.

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ABSTRACT The advent of a new generation of large-scale galaxy surveys is pushing cosmological numerical simulations in an uncharted territory. The simultaneous requirements of high resolution and very large volume pose serious technical challenges, due to their computational and data storage demand. In this paper, we present a novel approach dubbed dynamic zoom simulations – or dzs – developed to tackle these issues. Our method is tailored to the production of light-cone outputs from N-body numerical simulations, which allow for a more efficient storage and post-processing compared to standard

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Wang, Chen, Junqiang Bai, Jan S. Hesthaven, Yasong Qiu, Lei Qiao, and Xiao Han. "POD-Kriging Reduced Method's Application in Tandem Cylinders' Flow." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 36, no. 2 (2018): 220–28. http://dx.doi.org/10.1051/jnwpu/20183620220.

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The configuration of Tandem Cylinders is a typical one in researching noise and interactions between different components, where the distance-diameter ratio is a very significant parameter with which the flow form varies a lot. To clearly research the ratio's effect on tandem cylinders flow as well as the unsteady flow physics, a reduced-order model is built where Proper orthogonal Decomposition(POD) is usedto extract reduced basis modes, and Kriging model is used to train sample data and interpolate projection coefficents for each reduced basis. To ensure the snapshots' accuracy, the scale-ad

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Han, Chuang, Haoyang Lei, Yanyun Gong, and Ling Wang. "Sparse Covariance Matrix Reconstruction-Based Nulling Broadening for UAV 2D Antenna Arrays." Wireless Communications and Mobile Computing 2022 (May 10, 2022): 1–19. http://dx.doi.org/10.1155/2022/4987990.

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Since the antennas on UAVs may have slight vibrations or the interference source is in the state of rapid movement in practice, the interference suppression performance and robustness of the traditional methods may suffer a decline. In this paper, we propose a flexible asymmetric null widening technique, which allows flexible adjustment of the null width to accommodate the variation of the interference source. This method has a good effect of spreading zero trap on the two-dimensional array and can effectively reduce the waste of degrees of freedom. Firstly, the flexible asymmetric null wideni

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Hu, Panhe, Qinglong Bao, and Zengping Chen. "DOA Estimation Method in Multipath Environment for Passive Bistatic Radar." International Journal of Antennas and Propagation 2019 (June 20, 2019): 1–9. http://dx.doi.org/10.1155/2019/7419156.

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Direction-of-arrival (DOA) estimation in multipath environment is an important issue for passive bistatic radar (PBR) using frequency agile phased array VHF radar as illuminator of opportunity. Under such scenario, the main focus of this paper is to cope with the closely spaced uncorrelated and coherent signals in low signal-to-noise ratio and limited snapshots. Making full use of the characteristics of moduli of eigenvalues, the DOAs of the uncorrelated signals are firstly estimated. Afterwards, their contributions are eliminated by means of spatial difference technique. Finally, in order to

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32

Tian, Songyuan, Sheng Zhang, Hongmei Mao, Rui Liu, and Xiaowu Xiong. "Temporal Network Link Prediction Based on the Optimized Exponential Smoothing Model and Node Interaction Entropy." Symmetry 15, no. 6 (2023): 1182. http://dx.doi.org/10.3390/sym15061182.

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Link prediction accuracy in temporal networks is easily affected by the time granularity of network snapshots. This is due to the insufficient information conveyed by snapshots and the lack of temporal continuity between snapshots. We propose a temporal network link prediction method based on the optimized exponential smoothing model and node interaction entropy (OESMNIE). This method utilizes fine-grained interaction information between nodes within snapshot periods and incorporates the information entropy theory to improve the construction of node similarity in the gravity model as well as t

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33

Fiorentino, G., M. Bellazzini, M. Spera, et al. "Deep into the core of dense star clusters: an astrometric and photometric test case for ELT." Monthly Notices of the Royal Astronomical Society 494, no. 3 (2020): 4413–25. http://dx.doi.org/10.1093/mnras/staa869.

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ABSTRACT We present a novel analysis of a young star cluster in the Large Magellanic cloud, R136-like, as seen by the Extremely Large Telescope (ELT). The main aim of this study is to quantify precision and accuracy of stellar proper motion measurements in crowded field when using an ELT working at its diffraction limit. This can serve as a reference study for future development of ELT scientific cases. In particular, we investigate our future ability to detect the dynamical signature of intermediate-mass black holes (IMBHs) with mass ∼104 M⊙ through detailed measurements of stellar proper mot

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Mackey, Jonathan, Samuel Green, Maria Moutzouri, et al. "pion: simulating bow shocks and circumstellar nebulae." Monthly Notices of the Royal Astronomical Society 504, no. 1 (2021): 983–1008. http://dx.doi.org/10.1093/mnras/stab781.

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ABSTRACT Expanding nebulae are produced by mass-loss from stars, especially during late stages of evolution. Multidimensional simulation of these nebulae requires high resolution near the star and permits resolution that decreases with distance from the star, ideally with adaptive time-steps. We report the implementation and testing of static mesh-refinement in the radiation-magnetohydrodynamics (R-MHD) code pion, and document its performance for 2D and 3D calculations. The bow shock produced by a hot, magnetized, slowly rotating star as it moves through the magnetized ISM is simulated in 3D,

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Ivkovic, Mladen, and Romain Teyssier. "ACACIA: a new method to produce on-the-fly merger trees in the ramses code." Monthly Notices of the Royal Astronomical Society 510, no. 1 (2021): 959–79. http://dx.doi.org/10.1093/mnras/stab3329.

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ABSTRACT The implementation of ACACIA, a new algorithm to generate dark matter halo merger trees with the Adaptive Mesh Refinement code RAMSES, is presented. The algorithm is fully parallel and based on the Message Passing Interface. As opposed to most available merger tree tools, it works on the fly during the course of the N-body simulation. It can track dark matter substructures individually using the index of the most bound particle in the clump. Once a halo (or a sub-halo) merges into another one, the algorithm still tracks it through the last identified most bound particle in the clump,

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Cui, Guanghai, Zhen Wang, Yancun Yang, Jiahao Xu, and Hongyong Yang. "Evolution of cooperation under the influence of environments on individual-performed interactions." International Journal of Modern Physics C 29, no. 08 (2018): 1850070. http://dx.doi.org/10.1142/s0129183118500705.

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Traditionally, individual intensities to perform games are always assumed to be fixed in networks (e.g. to depend on the number of their neighbors). However, to increase their own fitness or payoffs, individuals may adjust their intensities in reaction to external environment changes in real scenarios. With this motivation, we have studied this adjustment by considering the average payoff of individual neighbors to be the network environment in a spatial prisoner’s dilemma game. An individual will unilaterally increase (decrease) its intensity to perform games between itself and its neighbors

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Goris, N., and H. Elbern. "Singular vector decomposition for sensitivity analyses of tropospheric chemical scenarios." Atmospheric Chemistry and Physics Discussions 11, no. 6 (2011): 16745–99. http://dx.doi.org/10.5194/acpd-11-16745-2011.

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Abstract. Observations of the chemical state of the atmosphere typically provide only sparse snapshots of the state of the system due to their insufficient temporal and spatial density. Therefore the measurement configurations need to be optimised to get a best possible state estimate. One possibility to optimise the state estimate is provided by observation targeting of sensitive system states, to identify measurement configurations of best value for forecast improvements. In recent years, numerical weather prediction adapted singular vector analysis with respect to initial values as a novel

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Reich-Zeliger, Shlomit, Manu Setty, Michelle Tadmor, Tomer Meir Salame, Dana Pe’er, and Nir Friedman. "Multiparameter mass cytometry of T cell development and selection." Journal of Immunology 196, no. 1_Supplement (2016): 121.12. http://dx.doi.org/10.4049/jimmunol.196.supp.121.12.

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Abstract T cell development and selection in the thymus play key roles in shaping the adaptive immune system and maintaining self-tolerance. Previous studies characterizing thymic development have largely relied on genetic perturbations and subsequent cell sorting that invariably perturb specific developmental compartments. Using mass-cytometry, allow us to capture the entire developmental progression of T cells, from the double-negative (DN) stages, through double-positive (DP) and the CD4 and CD8 branches, without perturbation. With 42 channels simultaneously measured, we collected a mass cy

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Goris, N., and H. Elbern. "Singular vector decomposition for sensitivity analyses of tropospheric chemical scenarios." Atmospheric Chemistry and Physics 13, no. 9 (2013): 5063–87. http://dx.doi.org/10.5194/acp-13-5063-2013.

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Abstract. Observations of the chemical state of the atmosphere typically provide only sparse snapshots of the state of the system due to their insufficient temporal and spatial density. One possibility for optimisation of the state estimate is to target the observation of those parameters that have the largest potential of resulting in forecast improvements. In the present work, the technique of singular vector analysis is applied to atmospheric chemical modelling in order to identify the most sensitive chemical compounds during a given time period and prioritise them for measurement. Novel to

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Goris, N., and H. Elbern. "Singular vector-based targeted observations of chemical constituents: description and first application of the EURAD-IM-SVA v1.0." Geoscientific Model Development 8, no. 12 (2015): 3929–45. http://dx.doi.org/10.5194/gmd-8-3929-2015.

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Abstract. Measurements of the large-dimensional chemical state of the atmosphere provide only sparse snapshots of the state of the system due to their typically insufficient temporal and spatial density. In order to optimize the measurement configurations despite those limitations, the present work describes the identification of sensitive states of the chemical system as optimal target areas for adaptive observations. For this purpose, the technique of singular vector analysis (SVA), which has proven effective for targeted observations in numerical weather prediction, is implemented in the EU

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Goris, N., and H. Elbern. "Singular vector based targeted observations of chemical constituents: description and first application of the EURAD-IM-SVA." Geoscientific Model Development Discussions 8, no. 8 (2015): 6267–307. http://dx.doi.org/10.5194/gmdd-8-6267-2015.

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Abstract. Measurements of the large dimensional chemical state of the atmosphere provide only sparse snapshots of the state of the system due to their typically insufficient temporal and spatial density. In order to optimize the measurement configurations despite those limitations, the present work describes the identification of sensitive states of the chemical system as optimal target areas for adaptive observations. For this purpose, the technique of singular vector analysis (SVA), which has been proved effective for targeted observations in numerical weather predication, is implemented int

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McGregor, S., S. Lacroix, and A. Monmayrant. "AN ADAPTIVE PROGRAMMABLE HYPERSPECTRAL IMAGER." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3/W3 (August 19, 2015): 419–25. http://dx.doi.org/10.5194/isprsarchives-xl-3-w3-419-2015.

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An adaptive, hyperspectral imager is presented. We propose a system with easily adaptable spectral resolution, adjustable acquisition time, and high spatial resolution which is independent of spectral resolution. The system yields the possibility to define a variety of acquisition schemes, and in particular near snapshot acquisitions that may be used to measure the spectral content of given or automatically detected regions of interest. The proposed system is modelled and simulated, and tests on a first prototype validate the approach to achieve near snapshot spectral acquisitions without reso

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Ali, Mazen, Kristina Steih, and Karsten Urban. "Reduced basis methods with adaptive snapshot computations." Advances in Computational Mathematics 43, no. 2 (2016): 257–94. http://dx.doi.org/10.1007/s10444-016-9485-9.

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Carter, Joshua, and Blake Wiedenheft. "SnapShot: CRISPR-RNA-Guided Adaptive Immune Systems." Cell 163, no. 1 (2015): 260–260. http://dx.doi.org/10.1016/j.cell.2015.09.011.

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Song, Heechun. "Some approaches to robust, snapshot‐deficient, adaptive processing." Journal of the Acoustical Society of America 113, no. 4 (2003): 2262. http://dx.doi.org/10.1121/1.4780486.

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Song, Jiawei, Rasit Abay, J. Scott Tyo, and Andrey S. Alenin. "Transcending conventional snapshot polarimeter performance via neuromorphically adaptive filters." Optics Express 29, no. 12 (2021): 17758. http://dx.doi.org/10.1364/oe.426072.

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Oxberry, Geoffrey M., Tanya Kostova-Vassilevska, William Arrighi, and Kyle Chand. "Limited-memory adaptive snapshot selection for proper orthogonal decomposition." International Journal for Numerical Methods in Engineering 109, no. 2 (2016): 198–217. http://dx.doi.org/10.1002/nme.5283.

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Tsuchida, Eiji, Yoong-Kee Choe, and Takahiro Ohkubo. "An adaptive finite-element method for large-scale ab initio molecular dynamics simulations." Physical Chemistry Chemical Physics 17, no. 47 (2015): 31444–52. http://dx.doi.org/10.1039/c5cp00320b.

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Tabassum, Muhammad Naveed, and Esa Ollila. "Sequential adaptive elastic net approach for single-snapshot source localization." Journal of the Acoustical Society of America 143, no. 6 (2018): 3873–82. http://dx.doi.org/10.1121/1.5042363.

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Qin, Lilong, Manqing Wu, and Zhen Dong. "Robust adaptive beamforming using multi-snapshot direct data domain approach." AEU - International Journal of Electronics and Communications 75 (May 2017): 124–29. http://dx.doi.org/10.1016/j.aeue.2017.03.004.

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