The technology we use, and even rely on, in our everyday lives –computers, radios, video, cell phones – is enabled by signal processing. Learn More »
1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.
Sha Wang (University of Ottawa), “Digital Watermarking Based Image and Video Quality Evaluation”, Advisor: Prof. Jiying Zhao (2013)
The IEEE Student Services team is pleased to announce webinars on the topics of Student Transition and Elevation Program (STEP) and Student Services: A Year in Review.
The sessions are open to any IEEE member who is interested in or currently works with Students/Graduate Student Members.
Upcoming webinars include:
Location: Scottsdale, AZ
Job Title: DSP Electrical Engineer
Location: San Jose, California
Description: ArrayComm is seeking research engineers to create state-of-the-art physical layer solutions for broadband wireless systems such as LTE and LTE-A. ArrayComm currently has openings for outstanding candidates with skills in the following areas
:
A postdoctoral position is available in the Analytical Genomic Team at the Laboratory Genomics of Microorganisms, UMR 7238 CNRS-Université Pierre et Marie Curie.
IEEE Fellow is the highest grade of membership of the IEEE. It honors members with an outstanding record of technical achievements, contributing importantly to the advancement or application of engineering, science and technology, and bringing significant value to society. Anyone can be a nominator (no need to be an IEEE Fellow, or even an IEEE member). The nomination deadline is 1 March, and all required information is obtained from www.ieee.org/fellows.
Thomas C. Null (Mississippi State University), “Novel techniques for processing data with an FMCW radar”, Advisor: Prof. Roger L. King (2013)
Linda Bai(University of Washington), “Compressive Detection and Estimation with Applications to Cognitive Radio and Radar”, Advisor: Sumit Roy (2013)
The Machine Learning and Signal Processing Technical Committee (MLSP TC) would like to take this opportunity to share with you some recent news and work related to our TC activities.
Home | Sitemap | Contact | Accessibility | Nondiscrimination Policy | IEEE Ethics Reporting | IEEE Privacy Policy | Terms | Feedback
© Copyright 2024 IEEE - All rights reserved. Use of this website signifies your agreement to the IEEE Terms and Conditions.
A public charity, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.