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Section: Publications & Resources

Electromagnetic inverse scattering problems (ISPs) are crucial in noninvasive imaging but challenging due to nonlinearity and computational costs. This blog explores machine learning-based ISP solvers with physics-guided loss functions, emphasizing the role of near-field priors and multiple-scattering effects. Numerical experiments highlight the advantages and limitations of these approaches.

Section: Publications & Resources

Mérouane Debbah is  Professor at  Khalifa University of Science and Technology in Abu Dhabi and founding Director of the KU 6G Research Center. He is a frequent keynote speaker at international events in the field of telecommunication and AI. 

Section: Publications & Resources

The IEEE Signal Processing Society invites nominations for the position of Editor-in-Chief for the following journals: IEEE Open Journal of Signal Processing, IEEE Journal of Selected Topics in Signal Processing, and IEEE Signal Processing Letters for a 3-year term starting 1 January 2026.    

Section: Publications & Resources

The IEEE Signal Processing Society (SPS) is proud to announce the 2024 class of SPS Scholarship recipients!

Section: Publications & Resources

Three new Members-at-Large will take their seats on the IEEE Signal Processing Society Board of Governors beginning 1 January 2023 and will serve until 31 December 2025. Seven candidates competed for the three Member-at-Large positions. 

Section: Publications & Resources

The IEEE Signal Processing Society invites all SPS Members to collaborate with their local Chapter in submitting a proposal for a Seasonal School, Forum, Regional Meeting, or Chapter Initiative event scheduled between April 2025 and September 2025.

Section: Publications & Resources

We propose a novel low-level feature similarity (FSIM) induced FR IQA metric, namely, FSIM. FSIM can measure image quality automatically and consistently with human perception.

Section: Publications & Resources

An occlusion-aware model for gait video processing uses SMPL-based human mesh models and machine learning to achieve superior recognition in challenging surveillance videos.

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! Visit the SPS BLOG for more related content on a regular basis!

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

In this manuscript, we propose to use a variational autoencoder-based framework for parameterizing a conditional linear minimum mean squared error estimator. The variational autoencoder models the underlying unknown data distribution as conditionally Gaussian, yielding the conditional first and second moments of the estimand, given a noisy observation.