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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11365539 | PMC |
| http://dx.doi.org/10.1152/japplphysiol.00272.2024 | DOI Listing |
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College of Electronic Science and Technology, National University of Defense Technology, No. 109, Deya Road, Changsha, 410073, Hunan, China; College of Electronic Engineering, National University of Defense Technology, No. 460, Huangshan Road, Hefei, 230037, Anhui, China.
Radar word extraction is the analysis foundation for multi-function radars (MFRs) in electronic intelligence (ELINT). Although neural networks enhance performance in radar word extraction, current research still faces challenges from complex electromagnetic environments and unknown radar words. Therefore, in this paper, we propose a promising two-stage radar word extraction framework, consisting of segmentation and recognition.
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I would like to thank Professor Ekirch for his reflections on 'Have we lost sleep?', which contain several points that I have already responded to within the paper following his peer review of my original submission to in 2023 (Professor Ekirch having voluntarily identified himself as a reviewer in a normally double-blind process). I acknowledge that the focus of my paper was on Ekirch's original work from 2001; if I did not engage as he would have wished with his subsequent publications, this was simply because I do not perceive the same substantial developments in his thinking and research on the subject that he does. Indeed, the present critique by Ekirch amounts essentially to more of the same: a long list of references and quotes but little detailed discussion of any individual source.
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