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Section: Publications & Resources

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. 

Section: Publications & Resources

By bringing research into the curriculum, this article explores new opportunities to refresh some classic signal processing courses. Since 2015, we in the Electrical and Electronic Engineering (EEE) Department of Imperial College London, United Kingdom, have explored the extent to which the level of student engagement and learning can be enhanced by inviting the students to perform signal processing exercises on their own physiological data.

PhD Studentships in Signal Processing Techniques   Programe of Electrical Engineering,  Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil   Applications are invited for PhD studentships in signal processing techniques. These studentships are funded by the CNPq/CAPES research councils in Brazil. The topic of the project is open in the broad area of signal processing techniques. Potential topics include: - Adaptive signal processing algorithms - Distributed signal processing techniques

Title:  Speech research/machine learning internship @Alibaba Time: Summer/Fall, 2018 Job location: Seattle /  San Francisco / Beijing Link:  https://sites.google.com/site/gangliuresearch/jobs About You A willingness to be a better you on a day by day basis. About Us:

Section: Publications & Resources

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.

Section: Events

April 8-11, 2019 Location: Venice, Italy

Section: Events

July 2-5, 2019 Location: Cannes, France

Section: Events

March 26-29, 2019 Location: Snowbird, Utah, USA

Professor of Brain-signal Analytics

Section: Events

Lecture Date: June 5, 2018 Chapter: Benelux  Chapter Chair: Francois Horlin Topic: Hyperspectral Unmixing in Remote Sensing: Learn the Wisdom There and Go Beyond (Machine Learning Included)