SPS Webinar

On 26 July 2019, Professor José M. F. Moura, IEEE President 2019 & CEO delivered his distinguished lecture on “Future Trends in Signal Processing.”  The lecture was held at Analog Devices India Private Limited, in Bengaluru, India, and was well-received by more than 250 attendees; one of the largest audiences for an SPS talk in Bangaluru!

This webinar, “Data Breaches and Multiple Points to Stop Them,” will discuss how preventing unauthorized access to sensitive data might appear to be an unattainable goal. Our presenter will break down the data breach problem and give insights into what organizations could and should do to reduce their risks. 

Upcoming webinar, 29 January 2019 by Dr. Victor Elvira. In many problems of signal processing, the interest is in estimating unknown static variables given a set of observations. The hidden parameters and the available data are usually related through a specific model. 

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

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.

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.

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.

IEEE SPS Distinguished Lecturer, Dr. Wing-Kin (Ken) Ma, gave a talk on “Hyperspectral Unmixing in Remote Sensing: Insights and Beyond.” The lecture, which included Machine Learning, was held on 14 June 2018 for the SPS German Chapter at Technischen Universität Darmstadt. The talk was hosted and moderated by Marius Pesavento and Gerald Enzner.