Channel Title: IEEE Signal Processing Society Channel Description: Founded as IEEE’s first society in 1948, the Signal Processing Society is the world’s premier association for signal processing engineers and industry professionals. Engineers around the world look to the Society for information on the latest developments in the signal processing field. Its deeply rooted history spans almost 70 years, featuring a membership base of nearly 20,000 interested and involved signal processing engineers, academics, industry professionals and students who are all part of a dynamic global community – spanning 100 countries worldwide. For more information about SPS membership, and how to enjoy our world-class conferences, publications, and resources, visit our website and join today at http://signalprocessingsociety.org <video> Beyond Consensus-Based Methods for Decentralized Learning Description: Where Graph Signal Processing and Optimization Meet DEGAS at GSP Workshop 2024 </video> <video> Vertex, Edge, Clique: What's in a Graph? Description: Presented by Bastian Grossenbacher Rieck (University of Fribourg) for the Data sciEnce on GrAphS (DEGAS) Webinar Series, in conjunction with the IEEE Signal Processing Society Data Science Initiative. For more information about the series, please visit https://dsiseminar.github.io/. </video> <video> IEEE SPS Day 2024: Message by Kenneth Lam Description: IEEE Signal Processing Society (SPS) Day 2024: Message by Kenneth Lam. </video> <video> ASI Webinars | Dimitry Shutin | Physics-assisted multi-robot exploration Description: </video> <video> Topological Signal Processing and Learning over Cell Complexes Description: DEGAS at GSP Workshop 2024 </video> <video> Linear Processes on Networks Description: DEGAS at GSP Workshop 2024 </video> <video> Kernel-driven and Learnable Self-Supervision over Graphs Description: DEGAS at GSP Workshop 2024 </video> <video> A Journey Through Graphs for Spatiotemporal Analysis Description: DEGAS Webinar Series </video> <video> ASI Webinar | Nir Shlezinger | Model-Based Deep Learning in Signal Processing and Communications Description: </video> <video> ASI Webinar | Nir Shlezinger | Model-Based Deep Learning in Signal Processing and Communications Description: </video> <video> ICASSP 2024 Highlights Description: Thank you for joining us for ICASSP 2024 in Seoul! </video> <video> Modeling Structure, Function and Dynamics in Biology using Geometric Scattering and Deep Learning Description: DEGAS at GSP Workshop 2024 </video> <video> IEEE ICIP 2024 Highlight Video Description: </video> <video> Low Distortion Embeddings With Bottom-up Manifold Learning Description: Presented by Dr. Gal Mishne (UC San Diego) for the Data sciEnce on GrAphS (DEGAS) Webinar Series, in conjunction with the IEEE Signal Processing Society Data Science Initiative. For more information about the series, please visit https://dsiseminar.github.io/ </video> <video> ASI Webinar | John Subosits | Uncertainty-Aware Modeling and Control for Driving at the Limits of Ha Description: </video>

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Founded as IEEE’s first society in 1948, the Signal Processing Society is the world’s premier association for signal processing engineers and industry professionals. Engineers around the world look to the Society for information on the latest developments in the signal processing field. Its deeply rooted history spans almost 70 years, featuring a membership base of nearly 20,000 interested and involved signal processing engineers, academics, industry professionals and students who are all part of a dynamic global community – spanning 100 countries worldwide.

For more information about SPS membership, and how to enjoy our world-class conferences, publications, and resources, visit our website and join today at http://signalprocessingsociety.org

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