Статті в журналах з теми "Time-varying graph signals"
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Stanković, Ljubiša, Jonatan Lerga, Danilo Mandic, Miloš Brajović, Cédric Richard, and Miloš Daković. "From Time–Frequency to Vertex–Frequency and Back." Mathematics 9, no. 12 (June 17, 2021): 1407. http://dx.doi.org/10.3390/math9121407.
Повний текст джерелаGiraldo, Jhony H., Arif Mahmood, Belmar Garcia-Garcia, Dorina Thanou, and Thierry Bouwmans. "Reconstruction of Time-Varying Graph Signals via Sobolev Smoothness." IEEE Transactions on Signal and Information Processing over Networks 8 (2022): 201–14. http://dx.doi.org/10.1109/tsipn.2022.3156886.
Повний текст джерелаWang, Wenyuan, and Qiang Sun. "Robust Adaptive Estimation of Graph Signals Based on Welsch Loss." Symmetry 14, no. 2 (February 21, 2022): 426. http://dx.doi.org/10.3390/sym14020426.
Повний текст джерелаJiang, Junzheng, David B. Tay, Qiyu Sun, and Shan Ouyang. "Recovery of Time-Varying Graph Signals via Distributed Algorithms on Regularized Problems." IEEE Transactions on Signal and Information Processing over Networks 6 (2020): 540–55. http://dx.doi.org/10.1109/tsipn.2020.3010613.
Повний текст джерелаLewenfus, Gabriela, Wallace A. Martins, Symeon Chatzinotas, and Bjorn Ottersten. "Joint Forecasting and Interpolation of Time-Varying Graph Signals Using Deep Learning." IEEE Transactions on Signal and Information Processing over Networks 6 (2020): 761–73. http://dx.doi.org/10.1109/tsipn.2020.3040042.
Повний текст джерелаShafipour, Rasoul, and Gonzalo Mateos. "Online Topology Inference from Streaming Stationary Graph Signals with Partial Connectivity Information." Algorithms 13, no. 9 (September 9, 2020): 228. http://dx.doi.org/10.3390/a13090228.
Повний текст джерелаPodusenko, Albert, Wouter M. Kouw, and Bert de Vries. "Message Passing-Based Inference for Time-Varying Autoregressive Models." Entropy 23, no. 6 (May 28, 2021): 683. http://dx.doi.org/10.3390/e23060683.
Повний текст джерелаJiang, Bo, Yuming Huang, Ashkan Panahi, Yiyi Yu, Hamid Krim, and Spencer L. Smith. "Dynamic Graph Learning: A Structure-Driven Approach." Mathematics 9, no. 2 (January 15, 2021): 168. http://dx.doi.org/10.3390/math9020168.
Повний текст джерелаLan, Jie, and Tongyu Xu. "Adaptive Fuzzy Consensus Tracking Control for Nonlinear Multiagent Systems with Time-Varying Delays and Constraints." Complexity 2021 (June 28, 2021): 1–13. http://dx.doi.org/10.1155/2021/9940257.
Повний текст джерелаLi, Pinwei, Jiyang Dai, Jin Ying, Zhe Zhang, and Cheng He. "Distributed Adaptive Fixed-Time Tracking Consensus Control for Multiple Uncertain Nonlinear Strict-Feedback Systems under a Directed Graph." Complexity 2020 (August 26, 2020): 1–21. http://dx.doi.org/10.1155/2020/4130945.
Повний текст джерелаBagde, Vandana, and Dethe C. G. "Performance improvement of space diversity technique using space time block coding for time varying channels in wireless environment." International Journal of Intelligent Unmanned Systems 10, no. 2/3 (June 8, 2020): 278–86. http://dx.doi.org/10.1108/ijius-04-2019-0026.
Повний текст джерелаQiu, Kai, Xianghui Mao, Xinyue Shen, Xiaohan Wang, Tiejian Li, and Yuantao Gu. "Time-Varying Graph Signal Reconstruction." IEEE Journal of Selected Topics in Signal Processing 11, no. 6 (September 2017): 870–83. http://dx.doi.org/10.1109/jstsp.2017.2726969.
Повний текст джерелаGama, Fernando, Elvin Isufi, Alejandro Ribeiro, and Geert Leus. "Controllability of Bandlimited Graph Processes Over Random Time Varying Graphs." IEEE Transactions on Signal Processing 67, no. 24 (December 15, 2019): 6440–54. http://dx.doi.org/10.1109/tsp.2019.2952053.
Повний текст джерелаLiu, Yueliang, Lishan Yang, Kangyong You, Wenbin Guo, and Wenbo Wang. "Graph Learning Based on Spatiotemporal Smoothness for Time-Varying Graph Signal." IEEE Access 7 (2019): 62372–86. http://dx.doi.org/10.1109/access.2019.2916567.
Повний текст джерелаLiu, Jinling, Jiming Lin, Hongbing Qiu, Junyi Wang, and Liping Nong. "Time-varying signal recovery based on low rank and graph-time smoothness." Digital Signal Processing 133 (March 2023): 103821. http://dx.doi.org/10.1016/j.dsp.2022.103821.
Повний текст джерелаKumar, Gautam, and Michael Garland. "Visual exploration of complex time-varying graphs." IEEE Transactions on Visualization and Computer Graphics 12, no. 5 (September 2006): 805–12. http://dx.doi.org/10.1109/tvcg.2006.193.
Повний текст джерелаKun-Chuan Feng, Chaoli Wang, Han-Wei Shen, and Tong-Yee Lee. "Coherent Time-Varying Graph Drawing with Multifocus+Context Interaction." IEEE Transactions on Visualization and Computer Graphics 18, no. 8 (August 2012): 1330–42. http://dx.doi.org/10.1109/tvcg.2011.128.
Повний текст джерелаRogozin, Alexander, Cesar A. Uribe, Alexander V. Gasnikov, Nikolay Malkovsky, and Angelia Nedic. "Optimal Distributed Convex Optimization on Slowly Time-Varying Graphs." IEEE Transactions on Control of Network Systems 7, no. 2 (June 2020): 829–41. http://dx.doi.org/10.1109/tcns.2019.2949439.
Повний текст джерелаMutlu, Ali Yener, Edward Bernat, and Selin Aviyente. "A Signal-Processing-Based Approach to Time-Varying Graph Analysis for Dynamic Brain Network Identification." Computational and Mathematical Methods in Medicine 2012 (2012): 1–10. http://dx.doi.org/10.1155/2012/451516.
Повний текст джерелаSundararajan, Akhil, Bryan Van Scoy, and Laurent Lessard. "Analysis and Design of First-Order Distributed Optimization Algorithms Over Time-Varying Graphs." IEEE Transactions on Control of Network Systems 7, no. 4 (December 2020): 1597–608. http://dx.doi.org/10.1109/tcns.2020.2988009.
Повний текст джерелаYang, Qiyu, Yi Lyu, Xiaolei Li, Ci Chen, and Frank L. Lewis. "Adaptive distributed synchronization of heterogeneous multi-Agent systems over directed graphs with time-Varying edge weights." Journal of the Franklin Institute 358, no. 4 (March 2021): 2434–52. http://dx.doi.org/10.1016/j.jfranklin.2021.01.018.
Повний текст джерелаHu, Junyan, Parijat Bhowmick, and Alexander Lanzon. "Distributed Adaptive Time-Varying Group Formation Tracking for Multiagent Systems With Multiple Leaders on Directed Graphs." IEEE Transactions on Control of Network Systems 7, no. 1 (March 2020): 140–50. http://dx.doi.org/10.1109/tcns.2019.2913619.
Повний текст джерелаYu, Xiao, Bing Xia, Shuxin Yang, Hongshen Yin, Yajie Wang, and Xiaowen Liu. "A Deep Domain-Adversarial Transfer Fault Diagnosis Method for Rolling Bearing Based on Ensemble Empirical Mode Decomposition." Journal of Sensors 2022 (May 18, 2022): 1–18. http://dx.doi.org/10.1155/2022/8959185.
Повний текст джерелаNiu, Ya Feng, and Yong Ming Gao. "Cooperative Tracking Control for Formation Keeping of Fractionated Spacecraft Based on Error Exchanging." Advanced Materials Research 1016 (August 2014): 649–54. http://dx.doi.org/10.4028/www.scientific.net/amr.1016.649.
Повний текст джерелаXu, Guoliang, Ming Xu, Yunzhi Chen, and Jiaqi Zhao. "A Mobile Application-Classifying Method Based on a Graph Attention Network from Encrypted Network Traffic." Electronics 12, no. 10 (May 20, 2023): 2313. http://dx.doi.org/10.3390/electronics12102313.
Повний текст джерелаArab, Homa, Iman Ghaffari, Lydia Chioukh, Serioja Tatu, and Steven Dufour. "Machine Learning Based Object Classification and Identification Scheme Using an Embedded Millimeter-Wave Radar Sensor." Sensors 21, no. 13 (June 23, 2021): 4291. http://dx.doi.org/10.3390/s21134291.
Повний текст джерелаAizuddin, Z. A. Z., B. A. Aminudin, P. S. Sanda, and R. M. S. Zetty. "Resistance Spot Welding Process Optimization Using Taguchi Robust Method for Joining Dissimilar Material." Applied Mechanics and Materials 835 (May 2016): 248–53. http://dx.doi.org/10.4028/www.scientific.net/amm.835.248.
Повний текст джерелаRonao, Charissa Ann, and Sung-Bae Cho. "Recognizing human activities from smartphone sensors using hierarchical continuous hidden Markov models." International Journal of Distributed Sensor Networks 13, no. 1 (January 2017): 155014771668368. http://dx.doi.org/10.1177/1550147716683687.
Повний текст джерелаWang, Han, Zong-Huan Ma, Juan Mao, and Bai-Hong Chen. "Genome-wide identification and expression analysis of the EXO70 gene family in grape (Vitis vinifera L)." PeerJ 9 (April 21, 2021): e11176. http://dx.doi.org/10.7717/peerj.11176.
Повний текст джерелаKnipper, Kustas, Anderson, Alsina, Hain, Alfieri, Prueger, Gao, McKee, and Sanchez. "Using High-Spatiotemporal Thermal Satellite ET Retrievals for Operational Water Use and Stress Monitoring in a California Vineyard." Remote Sensing 11, no. 18 (September 12, 2019): 2124. http://dx.doi.org/10.3390/rs11182124.
Повний текст джерелаGalanakis, Dennis K., Miriam Rafailovich, Tahmeena Ahmed, Suphanne Pongkitwitoon, Inge Scharrer, and Bohdan Kudryk. "An Evaluation of Fibrin(ogen) Determinants of Thromboelastography." Blood 118, no. 21 (November 18, 2011): 2251. http://dx.doi.org/10.1182/blood.v118.21.2251.2251.
Повний текст джерелаChi, Yuan, Junzheng Jiang, Fang Zhou, and Shuwen Xu. "A Distributed Algorithm for Reconstructing Time-Varying Graph Signals." Circuits, Systems, and Signal Processing, January 28, 2022. http://dx.doi.org/10.1007/s00034-021-01930-3.
Повний текст джерелаZhou, Fang, Junzheng Jiang, and David B. Tay. "Distributed reconstruction of time-varying graph signals via a modified Newton’s method." Journal of the Franklin Institute, September 2022. http://dx.doi.org/10.1016/j.jfranklin.2022.08.059.
Повний текст джерелаPodusenko, Albert, Bart van Erp, Magnus Koudahl, and Bert de Vries. "AIDA: An Active Inference-Based Design Agent for Audio Processing Algorithms." Frontiers in Signal Processing 2 (March 7, 2022). http://dx.doi.org/10.3389/frsip.2022.842477.
Повний текст джерелаMontazeri, Mohammad, Reza Yavari, Prahalada Rao, and Paul Boulware. "In-Process Monitoring of Material Cross-Contamination Defects in Laser Powder Bed Fusion." Journal of Manufacturing Science and Engineering 140, no. 11 (July 31, 2018). http://dx.doi.org/10.1115/1.4040543.
Повний текст джерелаTay, David B., and Junzheng Jiang. "Time-Varying Graph Signal Denoising via Median Filters." IEEE Transactions on Circuits and Systems II: Express Briefs, 2020, 1. http://dx.doi.org/10.1109/tcsii.2020.3017800.
Повний текст джерелаLin, Siman, Lin Wang, Huihui Wu, and Donghui Guo. "An Adaptive Rate Allocation Scheme for Time-Varying Graph Signal Quantization." IEEE Communications Letters, 2022, 1. http://dx.doi.org/10.1109/lcomm.2022.3163468.
Повний текст джерелаXiao, Zhenlong, He Fang, Stefano Tomasin, Gonzalo Mateos, and Xianbin Wang. "Joint Sampling and Reconstruction of Time-Varying Signals over Directed Graphs." IEEE Transactions on Signal Processing, 2023, 1–15. http://dx.doi.org/10.1109/tsp.2023.3284364.
Повний текст джерелаSantilli, Matteo, Antonio Furchì, Gabriele Oliva, and Andrea Gasparri. "A Finite-Time Protocol for Distributed Time-Varying Optimization Over a Graph." IEEE Transactions on Control of Network Systems, 2023, 1–12. http://dx.doi.org/10.1109/tcns.2023.3272220.
Повний текст джерелаGao, Wei, and Haizhong Yang. "Time-varying Group Lasso Granger Causality Graph for High Dimensional Dynamic system." Pattern Recognition, May 2022, 108789. http://dx.doi.org/10.1016/j.patcog.2022.108789.
Повний текст джерелаOrtega, Romeo, Emmanuel Nuño, and Alexey Bobtsov. "An algebraic, distributed state observer for continuous‐ and discrete‐time linear time‐invariant systems with time‐varying communication graphs." International Journal of Adaptive Control and Signal Processing, April 5, 2021. http://dx.doi.org/10.1002/acs.3240.
Повний текст джерела"Graph theory methods: applications in brain networks." Neurocircuitry 20, no. 2 (June 2018): 111–20. http://dx.doi.org/10.31887/dcns.2018.20.2/osporns.
Повний текст джерелаSingh, Manoj Kumar, and Bharat Raj Singh. "Chaos, Complexity and Synchronization in Dynamical System Using Bond Graph." SAMRIDDHI : A Journal of Physical Sciences, Engineering and Technology 4, no. 1 (June 8, 2015). http://dx.doi.org/10.18090/samriddhi.v4i1.1542.
Повний текст джерелаLi, Yue, Yunlai Xu, Qinyu Zhang, and Zhihua Yang. "Age-Optimized Multi-Hop Information Update Mechanism on the LEO Satellite Constellation via Continuous Time-Varying Graphs." IEEE Internet of Things Journal, 2022, 1. http://dx.doi.org/10.1109/jiot.2022.3229028.
Повний текст джерелаDu, Xiangyang, Weixun Li, Jingyu Xiao, and Zengqiang Chen. "Bipartite time-varying formation group containment control for multi-agent systems based on multi-layer network and semi-signed directed graph." Journal of the Franklin Institute, January 2023. http://dx.doi.org/10.1016/j.jfranklin.2022.12.040.
Повний текст джерелаWang, Qiangde, Yang Zhang, and Chunling Wei. "Distributed event-triggered for adaptive neural network containment control of uncertain Euler–Lagrange systems with external disturbances." Transactions of the Institute of Measurement and Control, May 1, 2022, 014233122210886. http://dx.doi.org/10.1177/01423312221088656.
Повний текст джерелаMehrab, Zakaria, Aniruddha Adiga, Madhav V. Marathe, Srinivasan Venkatramanan, and Samarth Swarup. "Evaluating the Utility of High-Resolution Proximity Metrics in Predicting the Spread of COVID-19." ACM Transactions on Spatial Algorithms and Systems, April 18, 2022. http://dx.doi.org/10.1145/3531006.
Повний текст джерелаDamseh, Rafat, Yuankang Lu, Xuecong Lu, Cong Zhang, Paul J. Marchand, Denis Corbin, Philippe Pouliot, Farida Cheriet, and Frederic Lesage. "A simulation study investigating potential diffusion-based MRI signatures of microstrokes." Scientific Reports 11, no. 1 (July 9, 2021). http://dx.doi.org/10.1038/s41598-021-93503-2.
Повний текст джерелаCarter, Dave, Marta Stojanovic, and Berry De Bruijn. "Revitalizing the Global Public Health Intelligence Network (GPHIN)." Online Journal of Public Health Informatics 10, no. 1 (May 22, 2018). http://dx.doi.org/10.5210/ojphi.v10i1.8912.
Повний текст джерелаGreen, Lelia. "No Taste for Health: How Tastes are Being Manipulated to Favour Foods that are not Conducive to Health and Wellbeing." M/C Journal 17, no. 1 (March 17, 2014). http://dx.doi.org/10.5204/mcj.785.
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