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10 years of news and resources for members of the IEEE Signal Processing Society

Publications News

The goal of the Special Issue of SPM on Brain Signal Analytics May 2016 is to bring together a diverse but complementary set of tutorial/review articles demonstrating the importance of incorporating signal processing strategies into the advances in neuroimaging techniques, data analytics, and modeling for brain function.

Many modern signal processing (SP) methods rely very strongly on probability and statistics tools to solve problems; for example, they use stochastic models to represent the data observation process and the prior knowledge available and they obtain solutions by performing statistical inference (e.g., using maximum likelihood or Bayesian strategies).

Biomedical signals have been widely used in the clinical setting for diagnostics, guiding therapy, patient monitoring, disease prevention, and risk assessment. The special issue of Proceedings of the IEEE in Feb. 2016 comprises 12 reviews that address challenges in applicative biomedical contexts by emphasizing the relevance of the methodological problem, the clinical importance of extracted information, and the possibility for future technological developments.

Big data has burst into public awareness over the past few years as people have become more and more aware of the massive amount of data being produced by social and scientific activities, and its potential utilization for good or harm. This special issue on "Big Data: Theoretical Aspects", published in Proceedings of the IEEE Jan. 2016, highlights a number of algorithmic approaches that are fundamental to data analysis, both in formulating and solving problems.


Call for Papers

IEEE Signal Processing Society

IEEE Transactions on Signal and Information Processing over Networks

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 LEARNING OVER NETWORKS

The invention of the automobile transformed how people live, work, and interact in society. Today, with an ever increasing number of in-vehicle options/activities, as well as the increasing demands being placed on the driver, vehicle platform, and transportation infrastructure, more is being asked of engineers, designers, scientists, and transportation specialists.


Call for Papers

IEEE Signal Processing Society

IEEE Transactions on Signal and Information Processing over Networks

SPECIAL ISSUE ON INFERENCE AND LEARNING OVER NETWORKS

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.

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