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The Latest News, Articles, and Events in Signal Processing
Identification of decompressed JPEG images, especially those compressed with high JPEG quality factors, is a challenging issue in image forensics. Furthermore, the applicability of the existing JPEG forensic detectors in forgery localization is limited by their inability to cope with spatial misalignment in the
Automotive imaging radars require high angular resolution which can be achieved by a large antenna aperture. In order to obey Nyquist spatial sampling rate, a large number of array elements and receive channels is required. In practice, this solution results in a prohibitively high cost and complexity.
We propose a high-resolution imaging radar system to enable high-fidelity four-dimensional (4D) sensing for autonomous driving, i.e., range, Doppler, azimuth, and elevation, through a joint sparsity design in frequency spectrum and array configurations. To accommodate a high number of automotive radars operating at the same frequency band while avoiding mutual interference, random sparse step-frequency waveform (RSSFW) is proposed to synthesize a large effective bandwidth to achieve high range resolution profiles.
Automotive radar is used in many applications of advanced driver assistance systems and is considered as one of the key technologies for highly automated driving. An overview of state-of-the-art signal processing in automotive radar is presented along with current research directions and practical challenges.
I-DeepLearn aims to increase diversity in computer science and related field by inviting students from grades 10-12 to experience machine learning (Artificial Intelligence) and deep learning (AI processing) and their applications, specifically in the healthcare domain. In this one-week online workshop, students will learn about essential concepts in machine learning and deep learning through a dynamic mix of hands-on programming projects and interactive discussions.
The Faculty of Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) invites applications for a
Tenure Track Professorship for Intelligent Speech Interfaces
(W1 / Assistant Professor)
PhD Studentship - UCL Institute of Healthcare Engineering EPSRC PhD Studentships on Healthy Ageing
Project Title: Lab-on-an-App: AI Empowered Point-of-Care Diagnostics for Ageing Population
Project Supervisor:
- Professor Miguel Rodrigues | Dept Electronic and Electrical Engineering | University College London
Project Co-Supervisors:
We invite applications for the post of Lecturer or Associate Professor in the Signal Processing, Audio and Hearing research group at the Institute of Sound and Vibration Research (ISVR), University of Southampton. We are open to applicants from a broad range of disciplines from within the fields of Acoustic, Audio and Speech Signal Processing. https://jobs.soton.ac.uk/Vacancy.aspx?ref=1350921DA-R
Prof. Mihaela van der Schaar is the John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge, a Fellow at The Alan Turing Institute in London, and a Chancellor’s Professor at UCLA.
Mónica F. Bugallo received her Ph.D. in computer science and engineering from University of A Coruña, Spain. She is a Professor of Electrical and Computer Engineering and the Vice Provost for Faculty Affairs, and Diversity, Equity and Inclusion at Stony Brook University, NY, USA. Bugallo is the current Chair of the IEEE SPS Signal Processing Theory and Methods Technical Committee, Senior Associate Editor of the IEEE Signal Processing Letters and Associate Editor of the IEEE Transactions on Signal Processing.
Xuedong Huang is a Microsoft Technical Fellow and Azure AI Chief Technology Officer. He is responsible for Microsoft’s Azure AI engineering and research to bring the dream of making machines see, hear and understand human beings a reality.
Dr. Supavadee Aramvith received her B.S. (first class honors) degree in Computer Science from Mahidol University, Bangkok, Thailand, in 1993. She received her M.S. and Ph.D. degrees in Electrical Engineering from the University of Washington, Seattle, USA, in 1996 and 2001, respectively.
Facial expressions are configurations of different muscle movements in the face. The local characters of muscle movements play an important role in distinguishing facial expressions by machines. In this webinar, the presenter will explore the local characters local characters of muscle movements by introducing the attention mechanism into two frameworks.
Global navigation satellite systems (GNSS) have been the main technology used in aerial and ground vehicle navigation systems. As vehicles approach full autonomy, the requirements on the accuracy, reliability, and availability of their navigation systems become very stringent. Due to the limitations of GNSS, namely severe attenuation in deep urban canyons and susceptibility to interference, jamming, and spoofing, alternative sensors and signals are sought.
The IEEE Signal Processing Society (SPS) is honored to announce the elevation of 108 of its members to the grade of IEEE Senior Member. These members have demonstrated outstanding professional performance, exhibited professional maturity through long-term experience, and established themselves as leaders in their respective IEEE-designated fields of interest.
The Society offers funding under the Member Driven Initiatives program for events that encourage involvement by SPS membership, including local chapters, universities, industry members as well as individual members. Programs under the Member Driven Initiatives include the launched Forums and Regional Meetings, in addition to the existing Chapter Driven Initiatives.
Every person spends around 1/3 of their life in bed. For an infant or a young toddler this percentage can be much higher, and for bed-bound patients it can go up to 100% of their time. In-bed pose estimation is a critical step in many human behavioral monitoring systems, which are focused on prevention, prediction, and management of at-rest or sleep-related conditions in both adults and children.
The Signal Processing Society (SPS) has 12 Technical Committees that support a broad selection of signal processing-related activities defined by the scope of the Society.
The IEEE Signal Processing Society has developed guidelines related to SPS Chapter social media and Chapter Activities.
The SPS membership numbers have been stable, albeit low, for many years in Region 9. However, there has been a decrease in student membership even though the number of active students in the areas of interest of signal processing remain high throughout the whole region.
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