Search results

Section: Publications & Resources

Publication: IEEE Journal of Selected Topics in Signal Processing

To process and transfer large amounts of data in emerging wireless services, it has become increasingly appealing to exploit distributed data communication and learning. Specifically, edge learning (EL) enables local model training on geographically disperse edge nodes and minimizes the need for frequent data exchange.

Section: Publications & Resources

Publication: IEEE Journal of Selected Topics in Signal Processing

The explosive growth of dynamic and heterogeneous data traffic brings great challenges for 5G and beyond mobile networks. To enhance the network capacity and reliability, we propose a learning-based dynamic time-frequency division duplexing (D-TFDD) scheme that adaptively allocates the uplink and downlink time-frequency resources of base stations (BSs) to meet the asymmetric and heterogeneous traffic demands while alleviating the inter-cell interference. 

Section: Publications & Resources

Publication: IEEE Journal of Selected Topics in Signal Processing

The mobile and flexible unmanned aerial vehicle (UAV) with mobile edge computing (MEC) can effectively relieve the computing pressure of the massive data traffic in 5G Internet of Things. In this paper, we propose a novel online edge learning offloading (OELO) scheme for UAV-assisted MEC secure communications, which can improve the secure computation performance. Moreover, the problem of information security is further considered since the offloading information of terminal users (TUs) may be eavesdropped due to the light-of-sight characteristic of UAV transmission.

Section: Publications & Resources

Donald S. Williamson is an Associate Professor in the Department of Computer Science and Engineering at The Ohio State University, where he is also an affiliate member of the Translational Data Analytics Institute (TDAI) and the Center for Cognitive and Brain Sciences.

Section: Publications & Resources

Advances in nano-fabrication and MEMS devices have led to radical improvements in sensing technologies in recent years. These improvements are most visible to all of us in our Smartphones that already feature a panoply of miniaturized sensors.

Section: Publications & Resources

The IEEE Signal Processing Society (SPS) is honored to announce the elevation of 130 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.

Section: Publications & Resources

The Signal Processing Society (SPS) conducts webinars presented by professionals in the field of signal processing and related technologies on an ongoing basis. Webinars are also hosted periodically by SPS Technical Committees, and other network of communities. Visit the Upcoming Events page to see a list of our upcoming webinars and join us!

Section: Community & Involvement

Technical Committee  

Section: Publications & Resources

Josiane Zerubia (M.Sc. ’81, D.Eng. ’86, Ph.D. '88, 'Habilitation' '94) is a French Senior Research Scientist at the National Institute for Research in Computer Science and Automation (INRIA). She has also been Professor at ISAE-Supaero, Toulouse, France, for over 20 years. 

Section: Publications & Resources

Underwater image enhancement has drawn considerable attention in both image processing and underwater vision. Due to the complicated underwater environment and lighting conditions, enhancing underwater image is a challenging problem.