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See the latest from the IEEE Signal Processing Society.
Series to Highlight Women in Signal Processing: Dr. Yonina Eldar
Dr. Yonina Eldar is a Professor in the Department of Mathematics and Computer Science, Weizmann Institute of Science, Rechovot, Israel. She was previously a Professor in the Department of Electrical Engineering at the Technion, where she held the Edwards Chair in Engineering.
Next Upcoming SPS Webinar Series: Signal Processing And Computational imagE formation (SPACE)
Given the impossibility of travel during the COVID-19 crisis, Computational Imaging TC is launching an SPS Webinar Series SPACE (Signal Processing And Computational imagE formation) as a regular bi-weekly online seminar series to reach out to the global computational imaging and signal processing community.
How can we use tools from signal processing to understand better neural networks?
Deep neural networks achieve state-of-the-art performance in many domains in signal processing. The main practice is getting pairs of examples, input, and its desired output, and then training a network to produce the same outputs with the goal that it will learn how to generalize also to new unseen data, which is indeed the case in many scenarios.
Upcoming Distinguished Lectures
Please visit the Conferences and Events page on the IEEE Signal Processing Society website for Upcoming Lectures by Distinguished Lecturers.
Read moreSeries to Highlight Young Professionals in Signal Processing: Dr. Maryam Azimi
This issue brings to you our interview with Dr. Maryam Azimi, an active IEEE Signal Processing Society (SPS) Young Professional.
Job Opportunities in Signal Processing
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.
Series to Highlight Women in Signal Processing: Dr. Amy R. Reibman
Dr. Amy R. Reibman is a Professor of Electrical and Computer Engineering at Purdue University. Dr. Reibman received the B.S., M.S., and Ph.D. degrees in Electrical Engineering from Duke University. She joined Purdue after 23 years of industrial research at AT&T Labs -- Research, where she was a Distinguished Member of Technical Staff and a Lead Inventive Scientist.
Series to Highlight Young Professionals in Signal Processing: Dr. Subhro Das
This issue brings to you our interview with Dr. Subhro Das, an active IEEE Signal Processing Society (SPS) Young Professional. I am a Research Staff Member at the MIT-IBM Watson AI Lab, IBM Research in Cambridge USA. The MIT-IBM Watson AI Lab, a first of its kind industry-academic collaboration between IBM Research and MIT, focus on fundamental research problems at the vanguard of artificial intelligence.
Machine Learning for Readiness and Performance Improvement
Military operations and training present a broad variety of demanding physical tasks which may impact the Warfighter physical performance and health…
Read moreOU Analytics - Tip of the Month
Each month, the Chapter Briefs Newsletter will feature an OU Analytics Tip that will be helpful to all who utilize the OU Analytics tool. This month's Tip features a New Volunteer Role Filter in OU Analytics.
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Publications & Resources
IEEE Signal Processing Society publications, tools, and author resources. Learn more.
Conferences & Events
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Education & Training
Signal processing education and professional development program for all career levels. Learn more.
Community & Involvement
Learn about SPS membership, Member Programs, Technical Committees, and access shared tools and support. Learn more.
About IEEE SPS
IEEE Signal Processing Society publications, tools, and author resources. Learn more.
For Volunteers
Resources, tools, and support for SPS volunteer leaders. Learn more.
The IEEE Signal Processing Society is dedicated to supporting the professional growth and career advancement of its members in the dynamic field of signal processing. Learn More
Signal processing education and professional development program for all career levels. Learn more.
