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Section: Publications & Resources

Fernando Pereira is a Full Professor at the Department of Electrical and Computers Engineering of Instituto Superior Técnico, University of Lisbon, and a Senior Researcher at Instituto de Telecomunicações, Lisbon, Portugal. 

Section: Publications & Resources

Mário Figueiredo received his MSc (1990), PhD (1994), and habilitation (agregação) degrees, all in Electrical and  Computer Engineering from Instituto Superior Técnico (IST), the school of engineering of the University of Lisbon, where he has been a professor since 1994.

Section: Publications & Resources

Publication: IEEE Signal Processing Magazine

In the first issue of 2024, we introduced the new lead editorial team of IEEE Signal Processing Magazine ( SPM ), composed of our four area editors. Their terms started with mine this January, and they oversee the Society e-newsletter and the three main components of our magazine: feature articles, special issues, and columns and forum articles.

Section: Publications & Resources

Publication: IEEE Signal Processing Magazine

Hypercomplex signal and image processing extends upon conventional methods by using hypercomplex numbers in a unified framework for algebra and geometry. The special issue is divided into two parts and is focused on current advances and applications in computational signal and image processing in the hypercomplex domain.

Section: Publications & Resources

Publication: IEEE Signal Processing Magazine

Hypercomplex signal processing (HSP) provides state-of-the-art tools to handle multidimensional signals by harnessing the intrinsic correlation of the signal dimensions through Clifford algebra. Recently, the hypercomplex representation of the phase retrieval (PR) problem, wherein a complex-valued signal is estimated through its intensity-only projections, has attracted significant 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! Visit the SPS BLOG for more related content on a regular basis!

Section: Publications & Resources

To address rapidly growing interest in artificial intelligence (AI) and machine learning (ML) for signal processing and data science, the IEEE Signal Processing Society (SPS) has launched a new special series on AI in Signal & Data Science, to be published within the IEEE Journal on Selected Topic in Signal Processing (JSTSP).

Section: Publications & Resources

Publication: IEEE Journal of Selected Topics in Signal Processing

Manuscript Due: July 1, 2025 Publication: December 2025

Section: Publications & Resources

To address rapidly growing interest in artificial intelligence (AI) and machine learning (ML) for signal processing and data science, the IEEE Signal Processing Society (SPS) has launched a new special series on AI in Signal & Data Science, to be published within the IEEE Journal on Selected Topic in Signal Processing (JSTSP).

Section: Publications & Resources

Explore how Bayesian optimization enhances signal processing applications by providing efficient algorithm design solutions in the signal processing toolbox.