SPN 2016 - Symposium on Signal and Information Processing Over Networks

Since its first edition in 2013, GlobalSIP has rapidly assumed flagship status within the IEEE Signal Processing Society. The conference is comprised of co-located symposia focused on signal and information processing and up-and-coming signal processing themes. GlobalSIP aims to feature world-class speakers, tutorials, exhibits, and oral and poster sessions. Prospective contributors to the symposium on ``Signal and Information Processing Over Networks'' are invited to submit works that use signal and information processing tools to understand networks and networked behavior, which has emerged as one of the foremost intellectual challenges of the 21st century. Often, networks have intrinsic value and are themselves the object of study. In other instances, the network defines an underlying notion of proximity and the main object of interest is a signal defined on top of the graph, i.e., data associated with the nodes of the network. Under the assumption that the signals are related to the topology of the graph where they are supported, the goal is to develop innovative signal and information algorithms that fruitfully leverage this relational structure, and can make inferences about these relationships when they are only partially observed. The list of applications is vast and spans a wide spectrum of disciplines such as biology, sociology, economics, engineering, or computer science.
Researchers working on interdisciplinary fields and those from communities related to Signal Processing are encouraged to submit their results.
Submissions are welcome on topics including:
Graph signal representations, transforms, and graph filtersNon-linear graph signal processingStatistical graph signal processingPrediction and learning in graphsNetwork topology inferenceNetwork tomographyModeling and control of network processesSignals in high-order graphsGraph algorithms for network data analyticsGraph-based distributed signal processing algorithmsGraph-based image and video processingApplications to communication, sensor and power networksApplications to neuroscience and other medical fieldsApplications to economics and social networks