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ORCIDIEEE Transactions on Signal and Information Processing over Networks, Volume 6
Volume 6, 2020
- Jiani Li
, Waseem Abbas, Xenofon D. Koutsoukos:
Resilient Distributed Diffusion in Networks With Adversaries. 1-17 - Weiyu Li, Yaohua Liu, Zhi Tian, Qing Ling:
Communication-Censored Linearized ADMM for Decentralized Consensus Optimization. 18-34 - Shahin Khobahi, Mojtaba Soltanalian, Feng Jiang, A. Lee Swindlehurst:
Optimized Transmission for Parameter Estimation in Wireless Sensor Networks. 35-47 - Rohan Varma, Harlin Lee, Jelena Kovacevic, Yuejie Chi:
Vector-Valued Graph Trend Filtering With Non-Convex Penalties. 48-62 - Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Ali H. Sayed:
Online Distributed Learning Over Graphs With Multitask Graph-Filter Models. 63-77 - Mohammadreza Doostmohammadian, Usman A. Khan:
Minimal Sufficient Conditions for Structural Observability/Controllability of Composite Networks via Kronecker Product. 78-87 - Saber Jafarizadeh:
Fastest Mixing Reversible Markov Chain: Clique Lifted Graphs and Subgraphs. 88-104 - Peter Berger, Gabor Hannak, Gerald Matz:
Efficient Graph Learning From Noisy and Incomplete Data. 105-119 - Nafiseh Ghoroghchian, David M. Groppe, Roman Genov, Taufik A. Valiante, Stark C. Draper:
Node-Centric Graph Learning From Data for Brain State Identification. 120-132 - Mohammadreza Doostmohammadian:
Recovering the Structural Observability of Composite Networks via Cartesian Product. 133-139 - Huaqing Li, Chicheng Huang, Zheng Wang, Guo Chen, Hafiz Gulfam Ahmad Umar:
Computation-Efficient Distributed Algorithm for Convex Optimization Over Time-Varying Networks With Limited Bandwidth Communication. 140-151 - Mireille El Gheche, Giovanni Chierchia, Pascal Frossard:
OrthoNet: Multilayer Network Data Clustering. 152-162 - Tongxin Li, Lucien Werner, Steven H. Low:
Learning Graphs From Linear Measurements: Fundamental Trade-Offs and Applications. 163-178 - Michele Rossi, Marco Centenaro, Aly Ba, Salma Eleuch, Tomaso Erseghe, Michele Zorzi:
Distributed Learning Algorithms for Optimal Data Routing in IoT Networks. 179-195 - Shengnan Wang, Chunguang Li, Hui-Liang Shen:
Distributed Discrete Hashing by Equivalent Continuous Formulation. 196-210 - Mario Coutino, Elvin Isufi, Takanori Maehara, Geert Leus:
State-Space Network Topology Identification From Partial Observations. 211-225 - Ali Can Yagan, Mehmet Tankut Özgen:
Spectral Graph Based Vertex-Frequency Wiener Filtering for Image and Graph Signal Denoising. 226-240 - Fangyu Li, Maria Valero, Yifang Cheng, Tong Bai, WenZhan Song:
Distributed Sensor Networks Based Shallow Subsurface Imaging and Infrastructure Monitoring. 241-250 - Thomas Maugey, Aline Roumy, Elsa Dupraz, Michel Kieffer:
Incremental Coding for Extractable Compression in the Context of Massive Random Access. 251-260 - Hermina Petric Maretic, Pascal Frossard:
Graph Laplacian Mixture Model. 261-270 - Yanning Shen, Xiao Fu, Georgios B. Giannakis, Nicholas D. Sidiropoulos:
Topology Identification of Directed Graphs via Joint Diagonalization of Correlation Matrices. 271-283 - Saurabh Sihag, Sébastien Naze, Foad Taghdiri, Charles Tator, Richard Wennberg, David J. Mikulis, Robin Green, Brenda Colella, Maria Carmela Tartaglia, James R. Kozloski:
Multimodal Dynamic Brain Connectivity Analysis Based on Graph Signal Processing for Former Athletes With History of Multiple Concussions. 284-299 - Yu Zhu, Michael T. Schaub, Ali Jadbabaie, Santiago Segarra:
Network Inference From Consensus Dynamics With Unknown Parameters. 300-315 - Gaëtan Frusque, Julien Jung, Pierre Borgnat, Paulo Gonçalves:
Multiplex Network Inference With Sparse Tensor Decomposition for Functional Connectivity. 316-328 - Fasheng Zhou, Ning Wang, Gaoyong Luo, Lisheng Fan, Wei Chen:
Edge Caching in Multi-UAV-Enabled Radio Access Networks: 3D Modeling and Spectral Efficiency Optimization. 329-341 - Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa, Valerio Frascolla:
Dynamic Computation Offloading in Multi-Access Edge Computing via Ultra-Reliable and Low-Latency Communications. 342-356 - Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong:
Clustering-Aware Graph Construction: A Joint Learning Perspective. 357-370 - Caitlin Gray, Lewis Mitchell, Matthew Roughan:
Bayesian Inference of Network Structure From Information Cascades. 371-381 - Apostolos Galanopoulos, Fotis Foukalas, Tamer Khattab:
Energy Efficient Spectrum Allocation and Mode Selection for D2D Communications in Heterogeneous Networks. 382-393 - Eda Bayram, Dorina Thanou, Elif Vural, Pascal Frossard:
Mask Combination of Multi-Layer Graphs for Global Structure Inference. 394-406 - Navneet Garg, Aditya K. Jagannatham, Govind Sharma, Tharmalingam Ratnarajah:
Precoder Feedback Schemes for Robust Interference Alignment With Bounded CSI Uncertainty. 407-425 - Vini Gupta, Swades De:
Collaborative Multi-Sensing in Energy Harvesting Wireless Sensor Networks. 426-441 - Mojtaba Shirazi, Azadeh Vosoughi:
On Distributed Estimation in Hierarchical Power Constrained Wireless Sensor Networks. 442-459 - Razgar Rahimi, Shahram ShahbazPanahi, Björn E. Ottersten:
Proof of the Equivalency of MSE-Constrained and Rate-Constrained Power Optimization Approaches to Distributed Bi-Directional Beamforming. 460-478 - Gianni Pasolini, Davide Dardari, Michel Kieffer:
Exploiting the Agent's Memory in Asymptotic and Finite-Time Consensus Over Multi-Agent Networks. 479-490 - Florian Meyer, Moe Z. Win:
Scalable Data Association for Extended Object Tracking. 491-507 - Basak Güler, Amir Salman Avestimehr, Antonio Ortega:
TACC: Topology-Aware Coded Computing for Distributed Graph Processing. 508-525 - Xiaoyuan Luo, Wenjing Zhong, Xiaolei Li, Xinping Guan:
Bearing Rigidity-Based Localizability Analysis for Wireless Sensor Networks. 526-539 - Junzheng Jiang, David B. H. Tay, Qiyu Sun, Shan Ouyang:
Recovery of Time-Varying Graph Signals via Distributed Algorithms on Regularized Problems. 540-555 - Wenjing Zhong, Xiaoyuan Luo, Xiaolei Li, Jing Yan, Xinping Guan:
Lower Bound Accuracy of Bearing-Based Localization for Wireless Sensor Networks. 556-569 - Xin Li, Guoliang Wei, Derui Ding:
Interval Observer Design Under Stealthy Attacks and Improved Event-Triggered Protocols. 570-579 - Rex C. Y. Cheung, Alexander Aue, Seungyong Hwang, Thomas C. M. Lee:
Simultaneous Detection of Multiple Change Points and Community Structures in Time Series of Networks. 580-591 - Vitor Rosa Meireles Elias, Wallace A. Martins, Stefan Werner:
Extended Adjacency and Scale-Dependent Graph Fourier Transform via Diffusion Distances. 592-604 - Kai Da, Tiancheng Li, Yongfeng Zhu, Qiang Fu:
Gaussian Mixture Particle Jump-Markov-CPHD Fusion for Multitarget Tracking Using Sensors With Limited Views. 605-616 - Berkay Oymak, Berkan Dulek, Sinan Gezici:
Sensor Selection and Design for Binary Hypothesis Testing in the Presence of a Cost Constraint. 617-632 - Yanbing Mao, Emrah Akyol:
On Inference of Network Topology and Confirmation Bias in Cyber-Social Networks. 633-644 - Makan Zamanipour:
Fast-and-Secure State-Estimation in Dynamic-Control Over Communication Channels: A Game-Theoretical Viewpoint. 645-655 - Sili Wang, Fangyu Li, Mark Panning, Saikiran Tharimena, Steve Vance, WenZhan Song:
Ambient Noise Tomography With Common Receiver Clusters in Distributed Sensor Networks. 656-666 - Armin Moharrer, Jasmin Gao, Shikun Wang, José Bento, Stratis Ioannidis:
Massively Distributed Graph Distances. 667-683 - Qian Xia, Wei Wang, Rong Ran, Yi Gong, Zhaoyang Zhang:
Multi-Slot Distributed Measurement Selection: A Sparsity Learning Approach. 684-698 - Yueliang Liu, Wenbin Guo, Kangyong You, Lei Zhao, Tao Peng, Wenbo Wang:
Graph Learning for Spatiotemporal Signals With Long- and Short-Term Characterization. 699-713 - Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen, Ali H. Sayed:
Convex Combination of Diffusion Strategies Over Networks. 714-731 - Shaoying Wang, Zidong Wang, Hongli Dong, Yun Chen:
Distributed State Estimation Under Random Parameters and Dynamic Quantizations Over Sensor Networks: A Dynamic Event-Based Approach. 732-743 - Domenico Ciuonzo, S. Hamed Javadi, Abdolreza Mohammadi, Pierluigi Salvo Rossi:
Bandwidth-Constrained Decentralized Detection of an Unknown Vector Signal via Multisensor Fusion. 744-758 - Gabriela Lewenfus, Wallace A. Martins, Symeon Chatzinotas, Björn E. Ottersten:
Joint Forecasting and Interpolation of Time-Varying Graph Signals Using Deep Learning. 761-773 - Qingguo Lü, Xiaofeng Liao, Huaqing Li, Tingwen Huang:
A Computation-Efficient Decentralized Algorithm for Composite Constrained Optimization. 774-789
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last updated on 2025-01-26 23:35 CET by the dblp team
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