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.
Title: Glottal source inverse filtering for the analysis and classification of pathological speech
Keywords: Pathological speech processing, Glottal source estimation, Inverse filtering, Machine learning, Parkinsonian disorders, Respiratory diseases
Contact and Supervisor: Khalid Daoudi (firstname.lastname@example.org)
Millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems have become very popular for sensing and wireless communications beyond 5G. While the abundant spectrum available at the mmWave frequency bands enables higher cellular data rates and precise positioning, links at mmWave frequencies are very sensitive to blockages and have significantly higher path loss.
Many important application domains generate distributed collections of heterogeneous local datasets. These local datasets are related via an intrinsic network structure that arises from domain-specific notions of similarity between local datasets. Networked federated learning aims at learning a tailored local model for each local dataset.
A postdoctoral research position is available at Johns Hopkins University in the laboratory of Dr. Mounya Elhilali to investigate representation of complex sounds in biological and artificial networks. The position is available immediately for two years, with possibility of renewal.
The ideal applicant will have a doctoral degree in computer science, electrical engineering, applied mathematics, neuroscience, psychology, hearing or brain sciences, with strong quantitative skills.
The use of wireless frequencies above 100 GHz has attracted considerable interest for both massive bandwidth communication links and very high resolution RADAR and sensing. Systems in these frequencies have unique characteristics in terms of device nonlinearities, MIMO architectures and radio propagation that in turn present significant design challenges.
Dr. Oriol Vinyals is a Principal Scientist at DeepMind, and a team lead of the Deep Learning group. His work focuses on Deep Learning and Artificial Intelligence. Prior to joining DeepMind, Oriol was part of the Google Brain team. He holds a Ph.D. in EECS from the University of California, Berkeley and is a recipient of the 2016 MIT TR35 innovator award.
X-ray security screening is widely utilized in aviation and transportation, and its importance has sparked interest in automated screening systems. The goal of this webinar is to explore computerized X-ray security imaging methods by classifying them into traditional machine learning and modern deep learning applications.
As part of our ongoing video series to demonstrate the applications of signal processing in everyday life, the IEEE Signal Processing Society Computational Imaging Technical Committee has created a new video, Computational Imaging in Everyday Life.
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.
The 2022 Multimedia Prize Paper Award Nomination Period is Open. Any paper published in T-MM in 2019, 2020 or 2021 is eligible. Judging shall be on the bases of originality, subject matter, timeliness, potential impact, and presentation quality.
The Signal Processing Society (SPS) has 12 Technical Committee that support a broad selection of signal processing-related activities defined by the scope of the Society.
In the year 2021 SPS StB Chapter of the Indian Institute of Information Technology, conducted many events to date and a few are in the pipeline. It has conducted 3 executive committee meetings in hybrid mode and two hands-on-demo ac co-organizers on 2D and 3D CNNs for Face Recognition by Dr. Satish Kumar Singh and Mr. Nayaneesh Mishra on December 6, 2021.
If you want to test your circuit design being an electrical or electronics engineer, then you have chosen the right event. Test your design, simulation, and hardware implementation skills with real-time applications (in collaboration with IEEE Robotics and Automation Society).
Since the establishment of the IEEE BBDITM Signal Processing Society on December 30, 2020, we have successfully organized 54 events. There was a grand inauguration of the society chapter on February 4, 2021. And several other events were organized both offline as well as online by our branch chapter.
Gloria Menegaz is a professor of bioengineering in the Department of Computer Science, University of Verona, Italy where she leads the Neuroimaging Lab. She serves as an associate editor of IEEE Signal Processing Letters and EURASIP Journal on Image and Video Processing, and she was a guest editor of Journal of Display Technology.
January 9-12, 2023
Location: Doha, Qatar
Conference Paper Submission Deadline: TBA
November 2-4, 2022
Location: Rennes, France
© Copyright 2022 IEEE – All rights reserved. Use of this website signifies your agreement to the IEEE Terms and Conditions.
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.