May 2022

The Principal Component Analysis (PCA) is considered to be a quintessential data preprocessing tool in many machine learning applications. But the high dimensionality and massive scale of data in several of these applications means the traditional centralized PCA solutions are fast becoming irrelevant for them. 

With 5G being a reality, what will 6G be? Extensive discussions have been initiated around possible paradigm shifts and new technologies for 6G in recent years. With this summer school, we aim at providing a comprehensive roadmap about fundamental theory, emerging applications, and possible enabling technologies for 6G. 

Substantial progress has been made recently on developing provably accurate and efficient algorithms for low-rank matrix factorization via nonconvex optimization. While conventional wisdom often takes a dim view of nonconvex optimization algorithms due to their susceptibility to spurious local minima, simple iterative methods such as gradient descent have been remarkably successful in practice. 

This year the Signal Processing Society identified 9 Chapters who exhibited excellence in many facets of chapter management, member recruitment, and activities.

This webinar, part of the new IEEE JSTSP webinar series on recent special issues (Sis), will overview the Joint Communication and Radar Sensing (JCR) for Emerging Applications. The webinar will start with a brief motivation of the area of JCR, followed by a summary of the technical papers that appear in the SI.

IEEE SPS has built a streamlined mechanism for employers to add a job announcement by simply filling in a simple job opportunity submission Web form related to a particular TC field. To submit job announcements for a particular Technical Committee, the submission form can be found by visiting the page below and selecting a particular TC.

The Signal Processing Society (SPS) has 12 Technical Committee that support a broad selection of signal processing-related activities defined by the scope of the Society.

Dr. Meredith Ringel Morris is Director of People + AI Research at Google. Prior to joining Google Research, Dr. Morris was Research Area Manager for Interaction, Accessibility, and Mixed Reality at Microsoft Research, where she founded Microsoft’s Ability research group.