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Section: Publications & Resources
The IEEE Signal Processing Society has developed guidelines related to SPS Chapter social media and Chapter Activities.
Section: Publications & Resources
The IEEE Signal Processing Society has developed guidelines related to SPS Chapter social media and Chapter Activities.
Section: Publications & Resources
The IEEE Signal Processing Society has developed guidelines related to SPS Chapter social media and Chapter Activities.
Section: Publications & Resources
The IEEE Signal Processing Society has developed guidelines related to SPS Chapter social media and Chapter Activities.
Section: Publications & Resources
The IEEE Signal Processing Society has developed guidelines related to SPS Chapter social media and Chapter Activities.
Section: Publications & Resources
The IEEE Signal Processing Society has developed guidelines related to SPS Chapter social media and Chapter Activities.
Section: Publications & Resources
This page contains the 2021 Rebate Schedule (section 9.0.E of the MGA Operations Manual). Additional information can be found on the Required Reporting web page and in the MGA Operations Manual.
Section: Publications & Resources
I received my Ph.D. degree from University of Southern California (USC), Los Angeles, CA. Currently I am an Associate Professor and Associate Head of Information Systems Technology and Design (ISTD), Singapore University of Technology and Design (SUTD). I have been an active researcher in the field of Image Processing and Computer Vision. My research has resulted in 14 U.S. patents granted with several pending. Two of my inventions have been licensed to companies.
SPS Webinar, 14 September 2021: Case Studies of Deep Learning for Channel Decoding and Power Control
Section: Publications & Resources
This webinar will demonstrate how deep learning can solve difficult communication problems that prior approaches often fail with two case studies. The first half will discuss a novel iterative BP-CNN architecture for channel decoding under correlated noise. This architecture concatenates a trained convolutional neural network (CNN) with a standard belief-propagation (BP) decoder.
Section: Publications & Resources
The IEEE Signal Processing Society (SPS) is honored to announce the elevation of 72 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 established themselves as leaders in their respective IEEE-designated fields of interest.
