The Signal Processing Society (SPS) has 12 Technical Committees that support a broad selection of signal processing-related activities defined by the scope of the Society.

The IEEE Signal Processing Society has developed guidelines related to SPS Chapter social media and Chapter Activities.

Adaptive (i.e., data-driven) methods have become very popular these last decades. Among the existing techniques, the empirical mode decomposition has proven to be very efficient in extracting accurate time-frequency information from non-stationary signals.

I received my Ph.D. degree from University of Southern California (USC), Los Angeles, CA. Currently I am an Associate Professor and Associate Head of Information Systems Technology and Design (ISTD), Singapore University of Technology and Design (SUTD). I have been an active researcher in the field of Image Processing and Computer Vision. My research has resulted in 14 U.S. patents granted with several pending. Two of my inventions have been licensed to companies. 

Dr. Henrique Malvar is a Fellow of the IEEE and a Member of the US National Academy of Engineering. He is a Distinguished Engineer at Microsoft Research, having previously served as Managing Director of the largest Microsoft Research Lab in Redmond, WA. Prior to joining Microsoft in 1997, he was Vice President of Research and Advanced Technology at PictureTel Corporation. Prior to that he was a professor at University of Brasilia. 

The 2022 International Conference on Acoustics, Speech, & Signal Processing (ICASSP) invites proposals for its Signal Processing Grand Challenges (SPGC) program. ICASSP is the IEEE Signal Processing Society’s flagship conference targeting signal processing and its applications.

The Signal Processing Society (SPS) has 12 Technical Committees that support a broad selection of signal processing-related activities defined by the scope of the Society.

The IEEE Signal Processing Society has developed guidelines related to SPS Chapter social media and Chapter Activities.