The IEEE Signal Processing Society Chapter of the Year Award will be presented for the seventh time in 2018. The award will be presented annually to a Chapter that has provided their membership with the highest quality of programs, activities and services. Nominations should be submitted to Theresa Argiropoulos (t.argiropoulos@ieee.org), who will collect the nominations on behalf of Nikos Sidiropoulos, Vice President-Membership. Nominations must be received no later than 15 October 2017.

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.

Overview
The Board of Governors of the IEEE Signal Processing Society (SPS) has allocated $20,000 for Member-Driven Initiatives for the 2017 calendar year. The funding is open to all Signal Processing Society members, Chapters and Committees. However, all proposals must include the involvement of the local Chapter to encourage geographic development. Allocation of funds will be competitive.

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Zhu, Zhenghan. University of Rhode Island （2017）"Some Contributions to Radar Detection Theory", advisor: Kay, Steven This dissertation focuses on statistical signal processing theory and its applications to radar, complex-valued signal processing and model selection. The transmit signal critically affects a radar system’s performance. Its design is an important task and is an active research area.

Much attention has been directed towards synchronous Brain Computer Interfaces (BCIs). For these BCIs, the user can only operate the system during specific system-defined periods. Self-paced BCIs, however, allow users to operate the system at any time he/she wishes. The classification of Electroencephalography (EEG) signals in self-paced BCIs is extremely challenging.

In the mid-1940s, a few brilliant people drew up the basic blueprints of the computer age. They conceived a general-purpose machine based on a processing unit made up of specialized subunits and registers, which operated on stored instructions and data. Later inventions—transistors, integrated circuits, solid-state memory—would supercharge this concept into the greatest tool ever created by humankind. So here we are, with machines that can churn through tens of quadrillions of operations per second. We have voice-recognition enabled assistants in our phones and homes.