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.

Patent no. 9,959,455 presents a system for facial recognition comprising at least one processor; at least one input operatively connected to the at least one processor; a database configured to store three-dimensional facial image data comprising facial feature coordinates in a predetermined common plane;

Speech coding is a field in which compression paradigms have not changed in the last 30 years. Speech signals are most commonly encoded with compression methods that have roots in linear predictive theory dating back to the early 1940s. 

he Signal Processing Society (SPS) has 12 Technical Committees and 3 Special Interest Groups (SIGs) that support a broad selection of signal processing-related activities defined by the scope of the Society.

The IEEE Signal Processing Society welcomes proposals from prospective organizers of 2018-2019 winter schools under the S3P (Seasonal Schools in Signal Processing) Program.  S3P seasonal schools are typically either summer schools or winter schools, and are geared towards providing graduate students, early stage researchers, and practitioners with background on selected topics in signal processing. 

Can you segment moving objects from image frames captured by car cameras? The 2018 CVPR workshop on autonomous driving (WAD) is hosting a challenge to enable autonomously driven vehicles to label instances of moving objects such as vehicles and pedestrians.