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Top Reasons to Join SPS Today!

1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
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08 Mar

SPS Webinar: Power Scaling of Uplink Massive MIMO Systems with Arbitrary-Rank Channel Means

Date: 8 March 2023
Time: 7:00 PM ET (New York Time)
Title: Power Scaling of Uplink Massive MIMO Systems with Arbitrary-Rank Channel Means

SPS Webinar: Novel Prospects of Image Restoration Inspired by Concepts of Quantum Mechanics

Date: 9 March 2023
Time: 9:00 AM ET (New York Time)
Presenter(s): Mr. Sayantan Dutta

13 Feb

SPS Webinar: 13 February 2023, presented by Dr. Joe (Zhou) Ren

Date: 13 February 2023
Time: 10:30 AM ET (New York Time)
Title: Human Centric Visual Analysis - Hand, Gesture, Pose, Action, and Beyond
Full webinar details

SPS-DSI (DEGAS) Webinar: 18 January 2023, by Dr. Stephan Günnemann

Date: 18 January 2023
Time: 3:00 PM (Paris Time)
Title: Robustness of Graph Neural Networks
Registration | Full webinar details

15 Feb

SPS Webinar: Decentralized Federated Learning: Balancing Communication and Computing Costs

Date: 15 February 2023
Time: 10:00 AM ET (New York Time)
Presenter(s): Mr. Wei Liu, Dr. Li Chen and Dr. Wenyi Zhang
Full webinar details

13 Dec

SPS Webinar: 13 December 2022, by Dr. Qian Huang

Date: 13 December 2022
Time: 10:00 AM ET (New York Time)
Title: Deep Learning for All-in-Focus Imaging
Registration | Full webinar details

BISP TC Webinar: 6 December 2022, Dr. Borbála Hunyadi

Date: 6 December 2022
Time: 3:00 PM (Central European Time (CET))
Title: Artificial Intelligence for Applications in Neurology
Registration | Full webinar details

SPS-DSI (DEGAS) Webinar: 14 December 2022, by Dr. Haggai Maron

Date: 14 December 2022
Time: 3:00 PM (Paris Time)
Title: Subgraph-Based Networks for Expressive, Efficient, and Domain-Independent Graph Learning
Registration | Full webinar details


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