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Moving Target At Constant Velocity Localization Using TOA Measurements From Single Moving Receiver With Unknown Signal Period

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.

Synthbuster: Towards Detection of Diffusion Model Generated Images

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.

SPS Announces 2024 Class of Distinguished Lecturers and Distinguished Industry Speakers

The IEEE Signal Processing Society (SPS) announces the 2024 Class of Distinguished Lecturers and Distinguished Industry Speakers for the term of 1 January 2024 to 31 December 2025. The IEEE SPS Distinguished Lecturer (DL) Program provides a means for Chapters to have access to well-known educators and authors in the fields of signal processing to lecture at Chapter meetings.

Sheila Hemami

Cornell University Ithaca, NY, USA

Jean-Christophe Olivo-Marin

Institut Pasteur Paris, France

Chiou-Ting Hsu

National Tsing Hua University Hsinchu, Taiwan