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ORCIDIEEE Transactions on Signal and Information Processing over Networks, Volume 3
Volume 3, Number 1, March 2017
- Yuzhe Li
, Daniel E. Quevedo, Subhrakanti Dey, Ling Shi:
A Game-Theoretic Approach to Fake-Acknowledgment Attack on Cyber-Physical Systems. 1-11 - Xiaoxi Guo, Alex S. Leong, Subhrakanti Dey:
Distortion Outage Minimization in Distributed Estimation With Estimation Secrecy Outage Constraints. 12-28 - Saurabh Khanna, Chandra R. Murthy:
Decentralized Joint-Sparse Signal Recovery: A Sparse Bayesian Learning Approach. 29-45 - Thakshila Wimalajeewa, Pramod K. Varshney:
Sparse Signal Detection With Compressive Measurements via Partial Support Set Estimation. 46-60 - Cem Aksoylar, Jing Qian, Venkatesh Saligrama:
Clustering and Community Detection With Imbalanced Clusters. 61-76 - Zuxing Li, Tobias J. Oechtering:
Privacy-Constrained Parallel Distributed Neyman-Pearson Test. 77-90 - Xuanyu Cao, Yan Chen, K. J. Ray Liu:
Understanding Popularity Dynamics: Decision-Making With Long-Term Incentives. 91-103 - Gabriel Michau, Nelly Pustelnik, Pierre Borgnat, Patrice Abry, Alfredo Nantes, Ashish Bhaskar, Edward Chung:
A Primal-Dual Algorithm for Link Dependent Origin Destination Matrix Estimation. 104-113 - Sandeep Kumar, Rahul Jain, Ketan Rajawat:
Asynchronous Optimization Over Heterogeneous Networks Via Consensus ADMM. 114-129 - Joseph Szurley, Alexander Bertrand, Marc Moonen:
Topology-Independent Distributed Adaptive Node-Specific Signal Estimation in Wireless Sensor Networks. 130-144 - Bhavya Kailkhura, Swastik Brahma, Pramod K. Varshney:
Data Falsification Attacks on Consensus-Based Detection Systems. 145-158 - Thakshila Wimalajeewa, Pramod K. Varshney, Wei Su:
Detection of Single Versus Multiple Antenna Transmission Systems Using Pilot Data. 159-171 - Mai Abdelhakim, Yuan Liang, Tongtong Li:
Mobile Access Coordinated Wireless Sensor Networks - Design and Analysis. 172-186 - Peter He, Lian Zhao, Bala Venkatesh:
Optimal Power Allocation for Hybrid Energy Harvesting and Power Grid Coexisting System With Power Upper Bounded Constraints. 187-199 - Alireza Dirafzoon, Alper Bozkurt, Edgar J. Lobaton:
Geometric Learning and Topological Inference With Biobotic Networks. 200-215
Volume 3, Number 2, June 2017
- Z. Zhang, Wee-Peng Tay, M. Draief, X. Wang, Edwin K. P. Chong, Alfred O. Hero III:
Introduction to the Issue on Distributed Information Processing in Social Networks. 219-221 - Hawraa Salami, Bicheng Ying, Ali H. Sayed:
Social Learning Over Weakly Connected Graphs. 222-238 - Tho Ngoc Le, Vijay G. Subramanian, Randall A. Berry:
Information Cascades With Noise. 239-251 - Jun Zhao:
Analyzing Resilience of Interest-Based Social Networks Against Node and Link Failures. 252-267 - Xuanyu Cao, Yan Chen, K. J. Ray Liu:
Data Trading With Multiple Owners, Collectors, and Users: An Iterative Auction Mechanism. 268-281 - Jun Zhao, Junshan Zhang:
Preserving Privacy Enables "Coexistence Equilibrium" of Competitive Diffusion in Social Networks. 282-297 - Vikram Krishnamurthy, Sujay Bhatt, Tavis Pedersen:
Tracking Infection Diffusion in Social Networks: Filtering Algorithms and Threshold Bounds. 298-315 - Ankit Kumar, Vivek S. Borkar, Nikhil Karamchandani:
Temporally Agnostic Rumor-Source Detection. 316-329 - Chih-Yu Wang, Yan Chen, K. J. Ray Liu:
Hidden Chinese Restaurant Game: Grand Information Extraction for Stochastic Network Learning. 330-345 - Shuang Li, Yao Xie, Mehrdad Farajtabar, Apurv Verma, Le Song:
Detecting Changes in Dynamic Events Over Networks. 346-359 - Ketan Rajawat, Sandeep Kumar:
Stochastic Multidimensional Scaling. 360-375 - Alexandre Reiffers-Masson, Yezekael Hayel, Eitan Altman:
Posting Behavior Dynamics and Active Filtering for Content Diversity in Social Networks. 376-387 - Chun-I Fan, Yi-Fan Tseng, Jheng-Jia Huang, Shih-Fen Chen, Hiroaki Kikuchi:
Multireceiver Predicate Encryption for Online Social Networks. 388-403 - Christopher Lindberg, Alexandre Graell i Amat, Henk Wymeersch:
Compressed Sensing in Wireless Sensor Networks Without Explicit Position Information. 404-415 - Nikola Bogdanovic, Dimitris Ampeliotis, Kostas Berberidis:
A Coalitional Game Theoretic Outlook on Distributed Adaptive Parameter Estimation. 416-429 - Gloria Soatti, Monica Nicoli, Stefano Savazzi, Umberto Spagnolini:
Consensus-Based Algorithms for Distributed Network-State Estimation and Localization. 430-444
Volume 3, Number 3, September 2017
- Pascal Frossard, Pier Luigi Dragotti, Antonio Ortega, Michael G. Rabbat, Alejandro Ribeiro:
Cooperative Special Issue on Graph Signal Processing in the IEEE Journal of Selected Topics in Signal Processing and the IEEE Transactions on Signal and Information Processing Over Networks. 448-450 - Sundeep Prabhakar Chepuri, Geert Leus:
Graph Sampling for Covariance Estimation. 451-466 - Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro:
Network Topology Inference from Spectral Templates. 467-483 - Dorina Thanou, Xiaowen Dong, Daniel Kressner, Pascal Frossard:
Learning Heat Diffusion Graphs. 484-499 - Shohreh Shaghaghian, Mark Coates:
Online Bayesian Inference of Diffusion Networks. 500-512 - Naghmeh Momeni, Michael G. Rabbat:
Inferring Structural Characteristics of Networks With Strong and Weak Ties From Fixed-Choice Surveys. 513-525 - Javad Heydari, Ali Tajer:
Quickest Search for Local Structures in Random Graphs. 526-538 - Weicong Ding, Christy Lin, Prakash Ishwar:
Node Embedding via Word Embedding for Network Community Discovery. 539-552 - Pin-Yu Chen, Alfred O. Hero III:
Multilayer Spectral Graph Clustering via Convex Layer Aggregation: Theory and Algorithms. 553-567 - Hao Jan Liu, Wei Shi, Hao Zhu:
Decentralized Dynamic Optimization for Power Network Voltage Control. 568-579 - Tiancheng Li, Juan M. Corchado, Javier Prieto:
Convergence of Distributed Flooding and Its Application for Distributed Bayesian Filtering. 580-591 - M. Amin Rahimian, Ali Jadbabaie:
Bayesian Learning Without Recall. 592-606 - Jeff Irion, Naoki Saito:
Efficient Approximation and Denoising of Graph Signals Using the Multiscale Basis Dictionaries. 607-616 - Saurabh Khanna, Chandra R. Murthy:
Communication-Efficient Decentralized Sparse Bayesian Learning of Joint Sparse Signals. 617-630 - Jing Yang, Stark C. Draper, Robert D. Nowak:
Learning the Interference Graph of a Wireless Network. 631-646
Volume 3, Number 4, December 2017
- Jalal Etesami, Negar Kiyavash:
Measuring Causal Relationships in Dynamical Systems through Recovery of Functional Dependencies. 650-659 - D. Rangaprakash:
Binarized Brain Connectivity: A Novel Autocorrelation-Based Iterative Synchronization Technique. 660-668 - Alp Ozdemir, Edward M. Bernat, Selin Aviyente:
Recursive Tensor Subspace Tracking for Dynamic Brain Network Analysis. 669-682 - Itir Onal, Mete Ozay, Eda Mizrak, Ilke Öztekin, Fatos Tünay Yarman Vural:
A New Representation of fMRI Signal by a Set of Local Meshes for Brain Decoding. 683-694 - Nauman Shahid, Nathanaël Perraudin, Gilles Puy, Pierre Vandergheynst:
Compressive PCA for Low-Rank Matrices on Graphs. 695-710 - Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
Admissible Hierarchical Clustering Methods and Algorithms for Asymmetric Networks. 711-727 - Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro:
D4L: Decentralized Dynamic Discriminative Dictionary Learning. 728-743 - Dajun Du, Rui Chen, Minrui Fei, Kang Li:
A Novel Networked Online Recursive Identification Method for Multivariable Systems With Incomplete Measurement Information. 744-759 - Qiang Liu, Katharine Brigham, Nageswara S. V. Rao:
Estimation and Fusion for Tracking Over Long-Haul Links Using Artificial Neural Networks. 760-770 - Keshav Singh, Ankit Gupta, Tharmalingam Ratnarajah:
QoS-Driven Energy-Efficient Resource Allocation in Multiuser Amplify-and-Forward Relay Networks. 771-786 - Ali Najdi Al-Shuwaili, Osvaldo Simeone, Alireza Bagheri, Gesualdo Scutari:
Joint Uplink/Downlink Optimization for Backhaul-Limited Mobile Cloud Computing With User Scheduling. 787-802
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