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Date: 17-27 October 2027
Location: Singapore
Conference Paper Submission Deadline: Coming soon
Date: 7-10 July 2025
Location: Surrey, UK
Date: 20 November 2024
Time: 2:00 PM (Paris Time)
Presenter(s): Bastian Grossenbacher Rieck
Date: 6-10 December 2025
Location: Honolulu, HI, USA
Date: 6 December 2024
Chapter: Santa Clara Valley Chapter
Chapter Chair: Peng Zhang
Title: Promoting Yourself: How to appeal accomplishments for member-level elevation, award nomination, and promotion in the company
Electromagnetic inverse scattering problems (ISPs) are crucial in noninvasive imaging but challenging due to nonlinearity and computational costs. This blog explores machine learning-based ISP solvers with physics-guided loss functions, emphasizing the role of near-field priors and multiple-scattering effects. Numerical experiments highlight the advantages and limitations of these approaches.
Date: 14 November 2024
Time: 7:30 AM ET (New York Time)
Presenter(s): Dr. Tomohiro Nakatani
Date: 17 December 2024
Time: 10:00 AM ET (New York Time)
Presenter(s): Dr. Hung-yi Lee
As I take on the President of the Signal Processing Society (SPS) role, I am excited to connect with you through this column. I look forward to introducing myself and inviting you, the members, to join our volunteers in shaping our shared future.
We opened the year with the theme of “embracing interdisciplinarity,” emphasizing the fact that signal processing naturally builds bridges across different domains and disciplines. The front cover image of an organic bridge across mature trees giving birth to a sapling helped convey our message. After two special issues (two parts of one special issue), we come back to you with an issue comprised of feature articles and columns, which all reinforce the message in our first issue of 2024.
The flexibility and dexterity of human limbs rely on the processing of a vast quantity of signals within the sensory-motor networks in the brain and spinal cord, distilled into stimuli that govern the commands and movements. Hence, the use of assistive devices, such as robotic limbs or exoskeletons, is critically dependent on the processing of a large number of heterogeneous signals to mimic natural movements.