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Section: Publications & Resources
Publication: IEEE Signal Processing Magazine
Section: Publications & Resources
Publication: IEEE Signal Processing Magazine
Scope
IEEE Signal Processing Magazine (SPM) publishes tutorial-style articles on signal processing research and applications, as well as columns and forums on issues of interest. Its coverage ranges from fundamental principles to practical implementation, reflecting the multidimensional facets of interests and concerns of the community. Its mission is to bring up-to-date, emerging and active technical developments, issues, and events to the research, educational, and professional communities.
Section: Publications & Resources
Publication: IEEE Signal Processing Magazine
Three new members-at-large will take their seats on the IEEE Signal Processing Society (SPS) Board of Governors (BoG) beginning 1 January 2018 and will serve until 31 December 2020. Nine candidates competed for the three member-at-large positions. The successful candidates represent a broad spectrum of the SPS. The successful candidates are: Shoji Makino, Athina P. Petropulu, Paris Smaragdis.
Section: Publications & Resources
Publication: IEEE Signal Processing Magazine
Prosthetic limbs have improved significantly over the past several years, and signal processing has played a key role in allowing these devices to operate more smoothly and precisely on command. Now, researchers are taking the next step forward by using signal processing approaches and methods to develop prosthetics that not only function reliably and efficiently but give wearers more natural control over artificial arms, hands, and legs.
Section: Publications & Resources
Publication: IEEE Signal Processing Magazine
Visual perception is one of our most essential and fundamental abilities that enables us to make sense of what our eyes see and interpret the world that surrounds us. It allows us to function and, thus, our civilization to survive. No sensory loss is more debilitating than blindness as we are, above all, visual beings. Close your eyes for a moment after reading this sentence and try grabbing something in front of you, navigating your way in your environment, or just walking straight, reading a book, playing a game, or perhaps learning something new.
Section: Publications & Resources
Publication: IEEE Signal Processing Magazine
Traditionally, analytical methods have been used to solve imaging problems such as image restoration, inpainting, and superresolution (SR). In recent years, the fields of machine and deep learning have gained a lot of momentum in solving such imaging problems, often surpassing the performance provided by analytical approaches.
Section: Publications & Resources
Publication: IEEE Signal Processing Magazine
Semantic segmentation is the task of labeling every pixel in an image with a predefined object category. It has numerous applications in scenarios where the detailed understanding of an image is required, such as in autonomous vehicles and medical diagnosis. This problem has traditionally been solved with probabilistic models known as conditional random fields (CRFs) due to their ability to model the relationships between the pixels being predicted.
Section: Publications & Resources
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.
Section: Publications & Resources
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.
