Call for Papers: TSIPN Special Issue on Inference and Learning over Networks
Call for Papers IEEE Signal Processing Society IEEE Transactions on Signal and Information Processing over Networks SPECIAL ISSUE ON INFERENCE AND…
Read moreCall for papers: Special issue on Signal Processing for Smart Vehicle Technologies
The invention of the automobile transformed how people live, work, and interact in society.
Read moreCall for Papers: TSIPN Special Issue on Inference and Learning over Networks
Call for Papers IEEE Signal Processing Society IEEE Transactions on Signal and Information Processing over Networks SPECIAL ISSUE ON INFERENCE AND…
Read moreBiometrics Security and Privacy Protection: IEEE Signal Processing Magazine, September 2015
The special issue of IEEE Signal Processing Magazine, Sep. 2015 is focused around biometrics and privacy protection. Biometrics is the science of recognizing individuals based on their behavioral and biological characteristics such as face, fingerprints, iris, voice, gait, and signature. A typical biometric system may be viewed as a pattern classification system that utilizes advanced signal processing schemes to compare and match biometric data.
SPS Community Voices in IEEE Signal Processing Magazine
Want your voice to be heard? The IEEE Signal Processing Magazine is launching a new section called "Community Voices," in which SPS members and the…
Read moreIntroducing the IEEE Transactions on Molecular, Biological and Multiscale Communications
As a result of recent advances in MEMS/NEMS and systems biology, as well as the emergence of synthetic bacteria and lab/process-on-a-chip techniques, it is now possible to design chemical “circuits”, custom organisms, micro/nanoscale swarms of devices, and a host of other new systems at small length scales, and across multiple scales (e.g., micro to macro)
Announcing Newest Publication: T-SIPN
There has been an explosion of research in network systems of various types, including physical, engineered, biological and social systems. Its aim is to find answers to fundamental questions about the systems and with them be able to understand, predict, and control them better. To that end, a core area of work is signal and information processing over networks.
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