November 2019

Due to overwhelming interest in Member Driven Initiative funding, the IEEE Signal Processing Society has changed its process for submitting proposals through the program. This includes proposals for Forums, Regional Meetings, and Chapter Driven Initiatives.

The call for nominations for the SPS Fellow Evaluation Committee has been extended to 22 November 2019.  While all nominations will be considered, we are specifically seeking additional nominations for individuals with a background in the image, video, multidimensional signal processing area.  

This webinar will address the problem of identifying the structure of an undirected graph from the observation of signals defined on its nodes. Fundamentally, the unknown graph encodes direct relationships between signal elements, which we aim to recover from observable indirect relationships generated by a diffusion process on the graph. 

Are you looking to energize signal processing students, early stage researchers, and industry practitioners in your area? Consider hosting a Seasonal School for young engineers near you!

IEEE SPS has built a streamlined mechanism for employers to add a job announcement by simply filling in a simple job opportunity submission Web form related to a particular TC field. To submit job announcements for a particular Technical Committee, the submission form can be found by visiting the page below and selecting a particular TC.

Please visit the Conferences and Events page on the IEEE Signal Processing Society website for Upcoming Lectures by Distinguished Lecturers.

The ICIP 2020 technical program will highlight a series of Special Sessions to complement the regular program with emerging topics of particular interest to the image-processing community. 

Following up on the successful challenge sessions organized during ICIP 2019, we are organizing the 2020 Challenge Sessions with new and more exciting problems that aim at engaging the image and video processing research community.

In recent years, the commercial audio world has seen an increasing number of application of machine learning in commercial audio products...