IEEE Signal Processing Society

You are here

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
Click here to learn more.

SPS Webinar: A Single-shot Fourier Camera and its Application to Multipath ToF Imaging

Date: 2 April 2025
Time: 10:30 AM ET (New York Time)
Presenter(s): Mr. Peyman Fayyaz Shahandashti

SPS Webinar: Extended Depth-of-Field Lensless Imaging Using an Optimized Radial Mask

Date: 28 January 2025
Time: 7:30 AM ET (New York Time)
Presenter(s): Dr. José Reinaldo Cunha Santos A. V. Silva Neto

SPS Webinar: Fractional Programming for Discrete Optimization in Signal Processing and Machine Learning

Date: 16 January 2025
Time: 7:30 AM ET (New York Time)
Presenter(s): Dr. Kaiming Shen

The Signal Processing Society (SPS) has 12 Technical Committees that support a broad selection of signal processing-related activities defined by the scope of the Society.

IEEE SPS has built a streamlined mechanism for employers to add a job announcement by simply filling in a simple job opportunity submission Web form related to a particular TC field. To submit job announcements for a particular Technical Committee, the submission form can be found by visiting the page below and selecting a particular TC.

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!

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. 

This paper investigates the probability-guaranteed distributed H filtering problem for stochastic time-varying systems over sensor networks. The measurements from sensing nodes are sampled nonuniformly before being received by filters and the sampling processes are modeled by a set of Markov chains.

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.

Postdoctoral Fellow in Information Theory/Machine Learning

Do you want to dive into the exciting field of distributed machine learning with a special focus on privacy/security? This research topic is going to shake up how we understand and apply machine learning, with the aim of creating safer and more private solutions in an increasingly digitized world. Successful applicants will have the opportunity to explore and contribute to groundbreaking research questions.

Pages

SPS Social Media

IEEE SPS Educational Resources

IEEE SPS Resource Center

IEEE SPS YouTube Channel