CV-SincNet: Learning Complex Sinc Filters From Raw Radar Data for Computationally Efficient Human Motion Recognition
Summary
CV-SincNet: Learning Complex Sinc Filters From Raw Radar Data for Computationally Efficient Human Motion Recognition is a scholarly article[1].
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CV-SincNet: Learning Complex Sinc Filters From Raw Radar Data for Computationally Efficient Human Motion Recognition's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). CV-SincNet: Learning Complex Sinc Filters From Raw Radar Data for Computationally Efficient Human Motion Recognition. Retrieved May 24, 2026, from https://4ort.xyz/entity/cv-sincnet-learning-complex-sinc-filters-from-raw-radar-data-for-computationally-efficient-human-motion-recognition
MLA“CV-SincNet: Learning Complex Sinc Filters From Raw Radar Data for Computationally Efficient Human Motion Recognition.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/cv-sincnet-learning-complex-sinc-filters-from-raw-radar-data-for-computationally-efficient-human-motion-recognition.
BibTeX@misc{4ortxyz_cv-sincnet-learning-complex-sinc-filters-from-raw-radar-data-for-computationally-efficient-human-motion-recognition_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CV-SincNet: Learning Complex Sinc Filters From Raw Radar Data for Computationally Efficient Human Motion Recognition}}, year = {2026}, url = {https://4ort.xyz/entity/cv-sincnet-learning-complex-sinc-filters-from-raw-radar-data-for-computationally-efficient-human-motion-recognition}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CV-SincNet: Learning Complex Sinc Filters From Raw Radar Data for Computationally Efficient Human Motion Recognition — https://4ort.xyz/entity/cv-sincnet-learning-complex-sinc-filters-from-raw-radar-data-for-computationally-efficient-human-motion-recognition (retrieved 2026-05-24)
