Inside Signal Processing eNewsletter

October 2016

In-Depth E-News Articles

Member in the Spotlight: Vincenzo Matta

In this series, we aim to introduce senior society members and other experts of the signal processing field. This month, we are happy to introduce Prof. Vincenzo Matta from the Department of Information and Electrical Engineering and Applied Mathematics of the University of Salerno, Italy.More »

18 Signal Processing Society Members Elevated to Senior Member

The IEEE Signal Processing Society (SPS) is honored to announce the elevation of 18 of its members to the grade of IEEE Senior Member. These members have demonstrated outstanding professional performance, exhibited professional maturity through long-term experience, and…More »

Activity Update from the MLSP Technical Committee

The Machine Learning for Signal Processing Technical Committee (MLSP TC) is involved with activities that facilitate the use of machine learning techniques for signal processing problems through advances in both the theory and practice of machine learning.More »

Recent Patents in Signal Processing (October 2016) – Radar imaging

For our October 2016 issue, we cover recent patents dealing with radar imaging. The section below covers patents granted recently for radar signal visualization, synthetic radar imaging, compressive imaging techniques, object detection and fusion, and radar based…More »

Activity Update from the IFS-TC

The Information Forensics and Security Technical Committee (IFS TC) reports on the IEEE Signal Processing Cup 2016, Multimedia Forensics in the news.the WIFS 2016 to be held in Abu Dhabi and more.More »

What Should We Learn From… Ethics and Autonomous Systems: Perils and Promises

Learn about Ethics and Autonomous Systems in Ronald C. Arkin’s article in Proceedings of the IEEE.More »

Video of the Month: Interact With Pokemon Go Monsters Using Interactive Dynamic Video

Researchers from MIT have developed “Interactive Dynamic Video”, a technology that allows the background to interact with Pokemon and virtual forces. It analyzes video clips to find vibration patterns at different frequencies, which represent distinct ways that an object can move.More »

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