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.

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®. 

This year the Signal Processing Society identified 16 Chapters who exhibited excellence in many facets of chapter management, member recruitment, and activities.

The choice of television programs (and arguably their quality) has exponentially expanded since the first TV was introduced. But the basic concept of watching TV hasn’t changed much. We see video images, whether live or recorded, in two dimensions. 

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.