This webinar intends to give in-depth introduction of econometrics principles and compare them with signal processing (SP) models. We explain the different focuses between economic time-series analysis and physical signal processing, such as evolution analysis, co-integration and causality analysis.

In accordance with the Bylaws of the IEEE Signal Processing Society, I am writing to solicit nominations for the Awards Board and the Nominations and Appointments (N&A) Committee.

Critical infrastructures such as the smart electric power grid, gas and water utility networks, transportation networks, and communication networks are crucially supporting quality of life and economic growth. Future critical infrastructures are envisioned to integrate sensory data acquisition, communication and computation technologies, and signal processing to offer improved services to their end-users.

The problem of pervasive indoor localization still remains largely unsolved due to the difficult propagation conditions. Some IoT applications will require real-time localization with submeter accuracy in GNSS-challenged environments.

Computer and communication systems are subject to repeated security attacks. Given the variety of new vulnerabilities discovered every day, the introduction of new attack schemes, and the ever-expanding use of the Internet, it is not surprising that the field of computer and network security has grown and evolved significantly in recent years.

Biometrics and multimedia forensics technologies are rapidly becoming an integral part of forensics sciences. This is evident by the increasing number of security applications such as computer and physical access control, digital rights management, homeland security, surveillance, and defence. 

Big data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Big Data is an emerging paradigm encompassing various kinds of complex and large scale information beyond the processing capability of conventional software and databases. Various technologies are being discussed

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.