The November 2017 special issue of SPM on deep learning for visual understanding surveyed deep-learning solutions under reinforcement; weakly supervised and multimodal settings, investigated their robustness; and presented overviews of their applications in domain adaptation, hashing, semantic segmentation, metric learning, inverse problems in imaging, image-to-text generation, and picture-quality assessment.

The IEEE Signal Processing Magazine page has a new look on the IEEE Signal Processing Society (SPS) website, and you can access it anywhere! The new page showcases the leading-edge content in a new design format.

Rabab Ward
Chair, 2018-2019 SPS Nominations and Appointments Committee
In accordance with the Bylaws of the IEEE Signal Processing Society, the membership will elect, by direct ballot, THREE Members-at-Large to the Board of Governors for three-year terms commencing 1 January 201​9 and ending 31 December 2021​, as well as TWO Regional Directors-at-Large...

Wearable sensor technology has improved substantially in recent years – and the personalized healthcare movement is reaping the benefits. Specifically, advancements in miniaturization, smart materials, low-power consumption and ruggedness have transformed ubiquitous monitoring.

Webinar Details: 21 March 2018 from 11:00am - 12:00pm (EDT) 
Attendee Registration Link: Register for Webinar, by Dr. Xiao-Ping (Steven) Zhang
Topic: Fundamentals on Signal Processing for Finance and Economics

The IEEE Signal Processing Society is very excited to offer the next webinar in our new series featuring “technical and technological innovations and their applications in signal processing” from top researchers and thought leaders in academia and industry. 

Within scientific research, engineering, and consumer electronics, there is a multitude of new discrete sensor-interfaced devices. Maintaining high accuracy in signal quantization while staying within the strict power-budget of these devices is a very challenging problem. Traditional paths to solving this problem include researching more energy-efficient digital topologies as well as digital scaling.

Signal processing is always at the heart of the technology that differentiates today’s generations from those of the past is reaffirmed once again by the special issue on Machine Learning for Cognition in Radio Communications and Radar in IEEE Journal of Selected Topics in Signal Processing, February 2018.

The MMSP 2018 team is inviting you to submit regular and special session papers to MMSP2018, the annual workshop organized by the Multimedia Signal Processing Technical Committee (MMSP TC) of the IEEE Signal Processing Society.