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News and Resources for Members of the IEEE Signal Processing Society

Society News

Do you know someone who has made notable contributions to signal processing or service to the IEEE Signal Processing Society? Now is your chance to recognize them by nominating them for an SPS award!

The IEEE Signal Processing Society (SPS) is excited to announce a new initiative to support SPS refers to the pre-college educational years collectively, and commonly includes elementary, middle, and high schools.

Christ Richmond (Duke University) has been named Editor-in-Chief for the IEEE Signal Processing Letters for the term 1 January 2023 through 31 December 2025.

On 1 May 2024, Signal Processing Society (SPS) President-Elect Kostas Plataniotis became SPS President, creating a President-Elect vacancy.  

The IEEE Signal Processing Society (SPS) invites nominations for the positions of: Director-Student Services, Director-Membership Development, and Seasonal Schools Subcommittee Chair. The term for all positions is three years (1 January 2025-31 December 2027).

The IEEE Signal Processing Society (SPS) invites nominations for the position of Awards Board Chair. The term for the Awards Board Chair will be three years (1 January 2025-31 December 2027).

The IEEE Signal Processing Society Chapter of the Year Award will be presented for the 14th time in 2025!

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 IEEE Signal Processing Society (SPS) invites nominations for the positions of: Director-Student Services, Director-Membership Development, and Seasonal Schools Subcommittee Chair. The term for all positions is three years (1 January 2025-31 December 2027).

Hypercomplex signal and image processing is a fascinating field that extends upon conventional methods by using hypercomplex numbers in a unified framework for algebra and geometry. Read the current SPM Special Issue.

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