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The Latest News, Articles, and Events in Signal Processing
Date: 13-16 May 2024
Location: Hong Kong, China
Date: 18-20 September 2024
Location: Reykjavik, Iceland
Date: 26 September 2024
Chapter: Italy Chapter
Chapter Chair: Enrico Magli
Title: Computational analysis of everyday acoustic scenes: methods, data, and evaluation
Date: 17 May 2024
Chapter: Türkiye Chapter
Chapter Chair: Burak Acar
Title: Topic: Conversational AI and Speech Technologies
The Signal Processing Society (SPS) conducts webinars presented by professionals in the field of signal processing and related technologies on an ongoing basis. Webinars are also hosted periodically by SPS Technical Committees, and other network of communities. Visit the Upcoming Events page to see a list of our upcoming webinars and join us! Visit the SPS BLOG for more related content on a regular basis!
Laure Blanc-Féraud received her Ph.D. degree and habilitation to conduct research in inverse problems in image processing from University Côte d’Azur in 1989 and 2000, respectively. She is a researcher with Informatique Signaux et Systèmes at Sophia Antipolis (I3S) Lab, the University Côte d’Azur, Centre national de la recherche scientifique (CNRS), Sophia Antipolis, France.
Join us for an interactive session with Dr. Jacqueline Le Moigne, Manager of the NASA Science Mission Directorate Earth Science Technology Office’s Advanced Information Systems Technology Program.
Do you have a colleague whose signal processing knowledge and expertise might be of greater interest to the broader Signal Processing Society community? SPS is now soliciting nominations for speakers to serve for two Society programs.
The IEEE Signal Processing Society is excited to announce that the SPS Scholarship Program has returned and is accepting applications for 2024!
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.
A warm greeting to the signal processing community as I start my term as the editor-in-chief of IEEE Signal Processing Magazine ( SPM ). I hope to be worthy of the confidence invested in me and to be able to follow successfully in Christian Jutten’s footsteps.
Time reversal is a physical principle well known for its deterministic focusing effect. Recently discovered statistical effects show that the time reversal focusing spot is not a point but has a Bessel power distribution. This finding offers accurate and reliable speed estimation indoors, where multipaths are abundant, with mostly nonline-of-sight (NLOS) conditions, and enable various indoor applications, such as wireless sensing and tracking. No known techniques can thrive in such scenarios. In essence, time reversal is an effective tool that embraces multipaths as virtual sensors with hundreds of thousands of degrees of freedom for our utilization.
The research landscape is evolving very dynamically. This column reflects on it from a conference viewpoint and focuses on the importance of creating a more sustainable culture for the conference portfolio that the IEEE Signal Processing Society (SPS) offers. Among the different considerations, the role that virtual conferences can play is highlighted.
The year 2023 marked the 75th anniversary of the IEEE Signal Processing Society (SPS), which was founded in 1948 as the “Professional Group on Audio” of the Institute of Radio Engineers (IRE), becoming the first IEEE Society. (The IRE, founded in 1912 with a focus on radio and then electronics, together with the American Institute of Electrical Engineers, founded in 1884 with an emphasis on power and utilities, were united in 1963 to form IEEE.)
Bayes’ rule, as one of the fundamental concepts of statistical signal processing, provides a way to update our belief about an event based on the arrival of new pieces of evidence. Uncertainty is traditionally modeled by a probability distribution. Prior belief is thus expressed by a prior probability distribution, while the update involves the likelihood function, a probabilistic expression of how likely it is to observe the evidence.
Date: 14-17 April 2025
Location: Houston, TX, USA
Date: 9 December 2024
Chapter: Pune Chapter
Chapter Chair: Varsha Harpale
Title: Research in Academia and Industry from the Lens of Digital Camera
Date: 7 December 2024
Chapter: Gujarat Chapter
Chapter Chair: Mita Paunwala
Title: Research in Academia and Industry from the Lens of Digital Camera
Date: 5 December 2024
Chapter: Delhi Chapter
Chapter Chair: Monika Aggarwal
Title: Research in Academia and Industry from the Lens of Digital Camera
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