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.

The IEEE Workshop on Signal Processing Systems (SiPS) is a premier international forum addressing current and future challenges and new research directions on the design and implementation of signal processing systems.

For our March 2018 issue, we cover recent patents granted in the area of image segmentation
In patent no 9,886,647 systems, devices, and methods are presented for segmenting an image of a video stream with a client device by accessing a set of images within a video stream, identifying an object of interest within one or more images of the set of images, and detecting a region of interest within the one or more images. 

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. Technical Committees and Special Interest Groups are actively involved in awards, conferences, publications, and educational activities, and provide technical advice to the Society's leadership.

How do home assistants understand your spoken words? Signal processing, of course!
In our newest video, Signal Processing in Home Assistants, we explore how signal processing engineers use signal processing and machine learning to make home assistant technology possible.

The IEEE Signal Processing Society welcomes proposals from prospective organizers of 2018-2019 winter schools under the S3P (Seasonal Schools in Signal Processing) Program.  S3P seasonal schools are typically either summer schools or winter schools, and are geared towards providing graduate students, early stage researchers, and practitioners with background on selected topics in signal processing.