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News and Resources for Members of the IEEE Signal Processing Society

Society News

Three new Members-at-Large will take their seats on the IEEE Signal Processing Society Board of Governors beginning 1 January 2019 and will serve until 31 December 2021. Eight candidates competed for the three Member-at-Large positions.

The IEEE Signal Processing Society (SPS) Newsletter is pleased to announce a new twist on an existing feature: how members receive tables of contents (TOCs) alerts for their favorite SPS Publication(s).

The marriage of ever-more sophisticated signal processing and wireless communications has led to compelling “tele-presence” solutions-at the touch of a dialing key.

The IEEE Signal Processing Society (SPS) is honored to announce the elevation of 267 of its members to the grade of IEEE Senior Member. These members have demonstrated outstanding professional performance, exhibited professional maturity through long-term experience, and established themselves as leaders in their respective IEEE-designated fields of interest.

This webinar will provide an in-depth survey look into 40 years of cross-disciplinary academic and industrial research and development work on radar tracking systems, starting from the former implementations based on the α – β, the Kalman filter, and up to the modern implementations based on random set filters.

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. Visit the SPS Job Submission Form.

The IEEE Signal Processing Society continues to track emerging technical areas. As a result, the Society has decided to create two new SPS Technical Interest Profile (TIP) Code categories in the fields of Data Science and Autonomous Systems to keep pace with the expanding technical disciplines.

This webinar will provide an in-depth survey look into 40 years of cross-disciplinary academic and industrial research and development work on radar tracking systems, starting from the former implementations based on the α – β, the Kalman filter, and up to the modern implementations based on random set filters.

The IEEE Signal Processing Society (SPS) Publications group is pleased to announce the launch of the IEEE SPS Author Survey. This automated survey is being delivered to the corresponding authors when their articles are final and published on IEEE Xplore®. 

The IEEE Signal Processing Society continues to track emerging technical areas. As a result, the Society has decided to create two new SPS Technical Interest Profile (TIP) Code categories in the fields of Data Science and Autonomous Systems to keep pace with the expanding technical disciplines.

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