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Name | Description |
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ADEL | Adaptation, Detection, Estimation, and Learning |
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ADEL-DDE | Distributed detection and estimation |
ADEL-DAN | Distributed adaptation over networks |
ADEL-DLN | Distributed learning over networks |
ADEL-DTT | Distributed target tracking |
ADEL-BLSP | Bayesian learning; Bayesian signal processing |
ADEL-SLN | Sequential learning over networks |
ADEL-DMN | Decision making over networks |
ADEL-DDL | Distributed dictionary learning |
ADEL-DGTS | Distributed game theoretic strategies |
ADEL-DIP | Distributed information processing |
ADEL-GKM | Graphical and kernel methods |
ADEL-CNS | Consensus over network systems |
ADEL-ONS | Optimization over network systems |
SIPG | Signal and Information Processing over Graphs |
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SIPG-DIS | Distributed processing of graph data |
SIPG-STOC | Stochastic processes over graphs |
SIPG-SAMP | Sampling, interpolation, denoising and reconstruction |
SIPG-REP | Transforms, filtering, representation |
SIPG-GCN | Graph convolutional neural networks |
SIPG-APP | Applications |
SIPG-MEND | Modeling and Estimation of Network Dynamics |
SIPG-IDP | Information Diffusion and Propagation |
SIPG-MNE | Modeling of Network Evolution |
SIPG-GTOP | Graph learning and network topology inference |
CNS | Communications, Networking, and Sensing |
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CNS-DMS | Distributed monitoring and sensing |
CNS-SPDCN | Signal processing for distributed communications and networking |
CNS-SPCN | Signal processing for cooperative networking |
CNS-SPNS | Signal processing for network security |
CNS-NSPRA | Optimal network signal processing and resource allocation |
CNS-SQP | Scheduling and queuing protocols |
CNS-CCMCT | Cooperative and coordinated multi-cell techniques |
CNS-DSCD | Distributed source and channel decoding |
CNS-ADHC | Ad-hoc wireless networks |
CNS-APPL | Applications of sensor networks |
CNS-ENGY | Energy efficient sensor network algorithms |
CNS-LLC | Low latency communications |
CNS-LOCL | Source localization in sensor networks |
CNS-PHYL | Physical layer issues |
CNS-FUSE | Data fusion from multiple sensors |
CNS-CLRD | Cross-Layer design |
CNS-RSMG | Resource management issues |
CNS-SQUE | Scheduling and queuing protocols |
CNS-SYLO | System level optimization |
MA | Modeling and Analysis |
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MA-PBM | Performance and bounds of methods |
MA-RV | Robustness and vulnerability |
MA-NMI | Network modeling and identification |
MA-SNIPS | Simulations of networked information processing systems |
MA-SL | Social learning |
MA-BNSP | Bio-inspired network signal processing |
MA-EDP | Epidemics and diffusion in populations |
IMA | Imaging and Media Applications |
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IMA-IVPN | Image and video processing over networks |
IMA-MCCC | Media cloud computing and communication |
IMA-MST | Multimedia streaming and transport |
IMA-SMCN | Social media computing and networking |
IMA-SPCPS | Signal processing for cyber-physical systems |
IMA-WMM | Wireless/mobile multimedia |
OTH | OTHER AREAS AND APPLICATIONS OF SIGNAL PROCESSING OVER NETWORKS |
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OTH-BGDT | Big Data |
OTH-CPSY | Cyber-physical systems |
OTH-ETOP | Emerging topics |
OTH-IOT | Internet of things |
OTH-CC | Crowd computing |