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Section: Publications & Resources
The K. S. Institute of Technology of Bengaluru, India Chapter (IEEE KSIT Chapter) conducted multiple events in March, July, September 2023 and part of 2022 on various activities such as workshops, membership drive, orphanage visit, and IEEE SPS Day.
Section: Publications & Resources
IEEE Signal Processing Society President Athina Petropulu, in her capacity as 2024-2025 Chair of the Society’s Nominations and Appointments Committee, invites nominations for the IEEE Signal Processing Society Officer position Vice President-Technical Directions for the term of 1 January 2025-31 December 2027.
Section: Publications & Resources
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!
Section: Publications & Resources
The IEEE Signal Processing is proud to partner with the IEEE Computer, Power and Energy, and Communications Societies on the 2024 IEEE SustainTech Expo and Leadership Forum!
Section: Publications & Resources
The onset of any new year prompts reflection, and the IEEE Signal Processing Society (SPS) has a lot to be proud of as we approach 2024!
Section: Publications & Resources
Each year, the IEEE Board of Directors confers the grade of Fellow on up to one-tenth of one percent of the voting members. To qualify for consideration, an individual must have been a Member, normally for five years or more, and a Senior Member at the time for nomination to Fellow.
Section: Publications & Resources
The IEEE SPS congratulates the following SPS members who will receive the Society’s prestigious awards during ICASSP 2024 in Korea.
Section: Publications & Resources
Publication: IEEE Open Journal of Signal Processing
Synthetically-generated images are getting increasingly popular. Diffusion models have advanced to the stage where even non-experts can generate photo-realistic images from a simple text prompt. They expand creative horizons but also open a Pandora's box of potential disinformation risks. In this context, the present corpus of synthetic image detection techniques, primarily focusing on older generative models like Generative Adversarial Networks, finds itself ill-equipped to deal with this emerging trend.
Section: Publications & Resources
Publication: IEEE Open Journal of Signal Processing
In this article, we consider using time-of-arrival (TOA) measurements from a single moving receiver to locate a moving target at constant velocity that emits a periodic signal with unknown signal period. First, we give the TOA measurement model and deduce the Cram e´ r-Rao lower bounds (CRLB). Then, we formulate a nonlinear least squares (NLS) problem to estimate the unknown parameters. We use semidefinite programming (SDP) techniques to relax the nonconvex NLS problem.
Section: Publications & Resources
Publication: IEEE Open Journal of Signal Processing
Neural networks have achieved state-of-the-art performance on the task of acoustic Direction-of-Arrival (DOA) estimation using microphone arrays. Neural models can be classified as end-to-end or hybrid, each class showing advantages and disadvantages. This work introduces Neural-SRP, an end-to-end neural network architecture for DOA estimation inspired by the classical Steered Response Power (SRP) method, which overcomes limitations of current neural models.
