IEEE Transactions on Signal and Information Processing over Networks

 

You are here

IEEE Transactions on Signal and Information Processing over Networks

Special Announcements:

1. T-SIPN is now indexed in the Emerging sources Citation Index (ESCI) in Web of Science. Please submit a manuscript.

2. Over-length Page Fees Waived through December 2017! From now until December 2017, papers publishing in IEEE Transactions on Signal and Information Processing over Networks (T-SIPN) will not be charged overlength page fees.

**PLEASE NOTE**: papers submitted AFTER 31 December 2017 will be charged over-length page fees of $220 per page starting on the 11th published page. These charges are mandatory and non-negotiable.

 

Scope

IEEE Transactions on Signal and Information Processing over Networks 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 include distributed algorithms for filtering, detection, estimation, adaptation and learning, model selection, data fusion, and diffusion or evolution of information over such networks, and applications of distributed signal processing.

Reproducible research

The Transactions encourages authors to make their publications reproducible by making all information needed to reproduce the presented results available online. This typically requires publishing the code and data used to produce the publication's figures and tables on a website; see the supplemental materials section of the Information for Authors page. It gives other researchers easier access to the work, and facilitates fair comparisons.

Multimedia content

It is now possible to submit for review and publish in Xplore supporting multimedia material such as speech samples, images, movies, matlab code etc. A multimedia graphical abstract can also be displayed along with the traditional text. More information is available under Multimedia Materials at the IEEE Author Digital Toolbox.

 

 

 

 

 

SPS on Facebook

SPS on Twitter

SPS Videos


Careers in Signal Processing

 


What is Signal Processing?      


ICASSP 2016-Opening Ceremony & Awards


Signal Processing and Machine Learning