SPS Feed

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

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. Visit the SPS Job Submission Form.

The Signal Processing Society (SPS) has 12 Technical Committees and 3 Special Interest Groups (SIGs) that support a broad selection of signal processing-related activities defined by the scope of the Society.

With the rapid development of multimedia technologies and the popularization of social networks, social multimedia content is being delivered to more and more users with a high quality of experience (QoE). However, as a huge amount of social users have ever-increasing demands to share and exchange multimedia content with each other, the current social multimedia analytics and delivery need to deal with various attacks perpetrated by malicious users or through spam content.

The 2018 IEEE Data Science Workshop is a new workshop that aims to bring together researchers in academia and industry to share the most recent and exciting advances in data science theory and applications.

Intellectual descendants and colleagues of MIT Professor Alan V. Oppenheim gathered to mark his 80th birthday and discuss the future of a quietly prolific scientific field.

Image, Video, and Multidimensional Signal Processing Technical Committee  (IVMSP TC) promotes and guides the advancement of the field of image, video, and multidimensional signal processing. It provides leadership for the technical programs for ICIP and for the IVMSP-related areas at ICASSP...

Speech and Language processing (SLP) is essentially a series of sequence-to-sequence learning problems. Conventional SLP systems map input to output sequences through module-based architectures where each module is independently trained.