Expansion of MGA Online Petition Forms for New Geographic Units
IEEE MGA is excited to announce the expansion of our online petition form to include submissions for Sections, Subsections and Status Changes! Online petition submissions are already available for Student Branches, Student Branch Chapters, Student Branch Affinity Groups, Technical Chapters and Affinity Groups.
Seasonal Schools in Signal Processing: Summer 2019 proposals being accepted now!
Check back on the SPS website to keep up-to-date on upcoming Seasonal Schools! Are you looking to energize signal processing students, early stage researchers, and industry practitioners in your area? Consider hosting a Seasonal School for young engineers near you!
Meet the Candidates: 2019 IEEE Division IX Director-Elect
The IEEE annual election began on 15 August and ends on 1 October at 1 p.m. EDT USA/17:00 UTC. The IEEE Signal Processing Society is committed to ensuring that its members are prepared with sufficient information about the candidates in order to make their best informed decisions. Vote now.
IEEE IVMSP TC Activity Update
Image, Video, and Multidimensional Signal Processing Technical Committee (IVMSP TC) promotes and guides the advancement of the field of image, video, and multidimensional signal processing.
Upcoming Distinguished Lectures
Please visit the Conferences and Events page on the IEEE Signal Processing Society website for Upcoming Lectures by Distinguished Lecturers.
Read moreState of the Art and Future Directions on DSP and Circuit Architectures for MIMO
Massive MIMO is a compelling wireless access concept that relies on the use of an excess number of base-station antennas, relative to the number of active terminals. This technology is a main component of 5G New Radio and addresses all important requirements of future wireless standards: a great capacity increase, the support of many simultaneous users, and improvement in energy efficiency.
What Should We Learn? Rethinking PCA for Modern Data Sets
In today’s big and messy data age, there is a lot of data generated everywhere around us. Examples include texts, tweets, network traffic, changing Facebook connections, or video surveillance feeds coming in from one or multiple cameras. Dimension reduction and noise/outlier removal are usually important preprocessing steps before any high-dimensional (big) data set can be used for inference.
What Should We Learn? Reinventing the wing With electric propulsion……
Five years ago, engineers at NASA started to think about using a large number of electric motors to create a blown wing, later naming the project LEAPTech, for Leading Edge Asynchronous Propeller Technology. The novel configuration was based on an old concept: The idea—known as a “blown wing”—was to propel air at high speed over the wing using many motors and propellers mounted along the leading edge.
What Should We Learn? Making Medical AI Trustworthy
The health care industry may seem the ideal place to deploy artificial intelligence systems. Each medical test, doctor’s visit, and procedure is documented, and patient records are increasingly stored in electronic formats. AI systems could digest that data and draw conclusions about how to provide better and more cost-effective care. Plenty of researchers are building such systems:
Call for Nominations: New IEEE IVMSP TC Members
On behalf of the IEEE IVMSP-TC Nominations Subcommittee, we would like to call for nomination of new TC members to serve a 3-year term from January 1, 2019 to December 31, 2021.

