Search results

Section: Publications & Resources

Nominations will be open 1 December–15 June for IEEE Medals and Recognitions—IEEE’s highest awards. All are encouraged to submit a nomination for a worthy candidate within their technical fields.

Section: Publications & Resources

Many problems encountered in sensing and imaging can be formulated as estimating a low-rank object from incomplete, and possibly corrupted, linear measurements; prominent examples include matrix completion and tensor completion. 

Section: Publications & Resources

Did you know the Society offers funding under the Member Driven Initiatives program for events that encourage involvement by SPS membership, including local chapters, universities, industry members as well as individual members? Programs under the Member Driven Initiatives include Seasonal Schools, Forums, Regional Meetings, and Chapter Initiatives.

Section: Publications & Resources

As a popular signal modeling technique, sparse representation (SR) has achieved great success in image fusion during the last decade. However, due to the patch-based manner adopted in standard SR models, most existing SR-based image fusion methods suffer from two drawbacks, namely, limited ability in detail preservation and high sensitivity to mis-registration, while these two issues are of great concern in image fusion. 

Section: Publications & Resources

Sergios Theodoridis has been named the IEEE Signal Processing Society Awards Board Chair beginning 1 January 2022 and will serve until 31 December 2024.

Section: Publications & Resources

Kush R. Varshney was born in Syracuse, NY in 1982. He received the B.S. degree (magna cum laude) in electrical and computer engineering with honors from Cornell University, Ithaca, NY, in 2004. He received the S.M. degree in 2006 and the Ph.D. degree in 2010, both in electrical engineering and computer science from the Massachusetts Institute of Technology (MIT), Cambridge.

Section: Publications & Resources

Dr. Luna Dong is ACM Distinguished Member for her contributions on knowledge integration and knowledge fusion, and the recipient of the VLDB Early Career Research Contribution Award for "Advancing the state of the art of knowledge fusion". The Knowledge-based Trust project she led at Google was called the “Google Truth Machine” by Washington’s Post.

Section: Publications & Resources

Join us in the second year of PROmotinG DiveRsity in Signal ProcESSing (PROGRESS), which is an initiative of the IEEE Signal Processing Society designed to motivate, provide information and support women and under-represented minorities in pursuing academic careers in signal processing. 

Section: Publications & Resources

Graphs are generic models of signal structure that can help to learn in several practical problems. To learn from graph data, we need scalable architectures that can be trained on moderate dataset sizes and that can be implemented in a distributed manner. Drawing from graph signal processing, the webinar will define graph convolutions and use them to introduce graph neural networks (GNNs). 

Section: Publications & Resources

Given the impossibility of travel during the COVID-19 crisis,  Computational Imaging TC is launching an SPS Webinar Series SPACE (Signal Processing And Computational imagE formation) as a regular bi-weekly online seminar series to reach out to the global computational imaging and signal processing community.