Zoom out Search Issue

www.signalprocessingsociety.org [38] MARCH 2015

Adaptation, Detection, Estimation, and Learning
R Distributed detection and estimation
R Distributed adaptation over networks
R Distributed learning over networks
R Distributed target tracking
R Bayesian learning; Bayesian signal processing
R Sequential learning over networks
R Decision making over networks
R Distributed dictionary learning
R Distributed game theoretic strategies
R Distributed information processing
R Graphical and kernel methods
R Consensus over network systems
R Optimization over network systems
Communications, Networking, and Sensing
R Distributed monitoring and sensing
R Signal processing for distributed communications and
networking
R Signal processing for cooperative networking
R Signal processing for network security
R Optimal network signal processing and resource
allocation
Modeling and Analysis
R Performance and bounds of methods
R Robustness and vulnerability
R Network modeling and identification
Modeling and Analysis (cont.)
R Simulations of networked information processing
systems
R Social learning
R Bio-inspired network signal processing
R Epidemics and diffusion in populations
Imaging and Media Applications
R Image and video processing over networks
R Media cloud computing and communication
R Multimedia streaming and transport
R Social media computing and networking
R Signal processing for cyber-physical systems
R Wireless/mobile multimedia
Data Analysis
R Processing, analysis, and visualization of big data
R Signal and information processing for crowd
computing
R Signal and information processing for the Internet of
Things
R Emergence of behavior
Emerging topics and applications
R Emerging topics
R Applications in life sciences, ecology, energy, social
networks, economic networks, finance, social
sciences, smart grids, wireless health, robotics,
transportation, and other areas of science and
engineering
IEEE TRANSACTIONSON
SIGNAL AND
INFORMATION PROCESSING OVER
NETWORKS
The new /dƌĂŶƐĂĐƚŝŽŶƐŽŶ^ŝŐŶĂůĂŶĚ/ŶĨŽƌŵĂƚŝŽŶWƌŽĐĞƐƐŝŶŐŽǀĞƌEĞƚǁŽƌŬƐ publishes high-quality papers
that extend the classical notions of processing of signals defined over vector spaces (e.g. time and space) to
processing of signals and information (data) defined over networks, potentially dynamically varying. In signal
processing over networks, the topology of the network may define structural relationships in the data, or
may constrain processing of the data. Topics of interest include, but are not limited to the following:
Editor-in-ŚŝĞĨ͗WĞƚĂƌD͘ũƵƌŝđ͕^ƚŽŶLJƌŽŽŬhŶŝǀĞƌƐŝƚLJ;h^Ϳ

dŽƐƵďŵŝƚĂƉĂƉĞƌ͕ŐŽƚŽ͗ŚƚƚƉƐ͗ͬͬŵĐ͘ŵĂŶƵƐĐƌŝƉƚĐĞŶƚƌĂů͘ĐŽŵͬƚƐŝƉŶ-ieee 
Now accepting paper submissions
_________________________________
Previous Page | Contents | Zoom in | Zoom out | Front Cover | Search Issue | Next Page
q
q
M
M
q
q
M
M
q
M
THE WORLD’S NEWSSTAND
®
Previous Page | Contents | Zoom in | Zoom out | Front Cover | Search Issue | Next Page
q
q
M
M
q
q
M
M
q
M
THE WORLD’S NEWSSTAND
®