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Section: Publications & Resources
Each year, the IEEE Board of Directors confers the grade of Fellow on up to one-tenth of one percent of the members. The Signal Processing Society congratulates the following 46 SPS members who were recognized with the grade of Fellow as of 1 January 2013.
Section: Publications & Resources
IEEE Signal Processing Society Past President Mos Kaveh in his capacity as Chair of the Society’s Nominations and Appointments Committee invites nominations for the IEEE Signal Processing Society Officer positions of President-Elect (term 1 January 2014-31 December 2015) and Vice President-Membership (term 1 January 2014-31 December 2016).
Please send your nominations to Theresa Argiropoulos, SPS Senior Manager, Operations, via t.argiropoulos@ieee.org or fax to 732-235-1627.
Section: Publications & Resources
SSPNet Summer School on Social Signal Processing
IIASS, Vietri Sul Mare (Italy) - June 3-7, 2013
http://www.dcs.gla.ac.uk/~vincia/sspschool/index.html
The SSPNet Summer School on Social Signal Processing aims at providing an extensive and thorough introduction to this exciting field at the crossroad between psychology and computing science.
Section: Publications & Resources
IEEE-USA E-Books offer a convenient way to brush up on career and policy issues. Choose from titles in a number of categories, including: careers, public policy, financial planning, innovation and more.
Section: Publications & Resources
Social media is a powerful way for people to connect. IEEE supports content creation through social media, and encourages stakeholders to use social media for communication, collaboration, data sharing, and content development in a manner that is consistent with the IEEE mission and objectives. The new IEEE Social Media Policy and best practices have been set to guide content creators and social media group administrators who are conducting IEEE business online.
Section: Publications & Resources
Se Hoon Lim (Duke University), “Compressive Holography”, Advisor: David J. Brady, 2012
Compressive holography estimates images from incomplete data by using sparsity priors. Compressive holography combines digital holography and compressive sensing. Digital holography consists of computational image estimation from data captured by an electronic focal plane array. Compressive sensing enables accurate data reconstruction by prior knowledge on desired signal.
Section: Publications & Resources
Ramsin Khoshabeh(University of California, San Diego), “Revolutionizing Laparoscopy: Bringing Glasses-free Multiview 3D into the Operating Room”, Advisor: Prof. Truong Nguyen, 2012
Over the past several years, a dramatic increase in attention has been paid to 3D media, particularly in the movie industry. Due to the lack of previous algorithmic advancement and the absence of unobtrusive technology, however, three-dimensional visualization has failed to penetrate the operating room until now.
