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Section: Events
1–4 November 2025 | Hong Kong Polytechnic UniversityThe 38th IEEE Signal Processing Systems (SiPS) Workshop brought together researchers, engineers, and industry leaders from around the world at the Hong Kong Polytechnic University for four days of discussion and discovery on the design, implementation, and application of signal processing systems.
Section: Publications & Resources
Featuring Professor Antonio Torralba, MITRecorded live at the IEEE International Conference on Image Processing (ICIP 2025)Modern computer vision relies on vast image datasets—but collecting and labeling those images comes at a high cost. What if AI systems could learn from synthetically generated images—even ones that look like abstract art with no recognizable objects?
Section: Publications & Resources
In this SPS Distinguished Industry Lecturer highlight, NVIDIA’s Morteza Mardani shares a practical, task-agnostic way to use diffusion models for image restoration and reconstruction—without retraining foundation models.
Section: Publications & Resources
The latest episode explores novel algorithms and their impact on audio processing.
Section: Community & Involvement
Bhanu Prakash Reddy Rella is recognized for his leadership in sustainable AI and energy-efficient signal processing systems.
Section: Publications & Resources
Election begins on 17 October and runs through 4 December.
Section: Publications & Resources
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.
Section: Events
Date: 7-9 September 2026
Location: Greece
Conference Paper Submission Deadline: Coming Soon
Website Link: Coming Soon
Section: Publications & Resources
Section: Events
Date: 25-November-2025Time: 09:45 AM ET (New York Time)Presenters: Dr. Karlheinz Brandenburg, Dr. Woon-Seng Gan, Dr. Rishabh Gupta & Dr. Annika NeidhardtBased on the IEEE Xplore® article under the same title.Published: IEEE Signal Processing Magazine, May 2022.Download article: Original article will be made publicly available for download on the day of the webinar for 48 hours. ARTICLE LINK
