Home ›
Entities
› academia
› Tensor-based multiple denoising via successive spatial smoothing, low-rank approximation and reconstruction for R-D sensor array processing
Tensor-based multiple denoising via successive spatial smoothing, low-rank approximation and reconstruction for R-D sensor array processing
Research article (Digital Signal Processing, 2019) · cited 18× · AI/ML
Tensor-based multiple denoising via successive spatial smoothing, low-rank approximation and reconstruction for R-D sensor array processing
Summary
Tensor-based multiple denoising via successive spatial smoothing, low-rank approximation and reconstruction for R-D sensor array processing is a scholarly article[1].
Key Facts
Tensor-based multiple denoising via successive spatial smoothing, low-rank approximation and reconstruction for R-D sensor array processing's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Tensor-based multiple denoising via successive spatial smoothing, low-rank approximation and reconstruction for R-D sensor array processing. Retrieved May 24, 2026, from https://4ort.xyz/entity/tensor-based-multiple-denoising-via-successive-spatial-smoothing-low-rank-approximation-and-reconstruction-for-r-d-senso
MLA“Tensor-based multiple denoising via successive spatial smoothing, low-rank approximation and reconstruction for R-D sensor array processing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/tensor-based-multiple-denoising-via-successive-spatial-smoothing-low-rank-approximation-and-reconstruction-for-r-d-senso.
BibTeX@misc{4ortxyz_tensor-based-multiple-denoising-via-successive-spatial-smoothing-low-rank-approximation-and-reconstruction-for-r-d-senso_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Tensor-based multiple denoising via successive spatial smoothing, low-rank approximation and reconstruction for R-D sensor array processing}}, year = {2026}, url = {https://4ort.xyz/entity/tensor-based-multiple-denoising-via-successive-spatial-smoothing-low-rank-approximation-and-reconstruction-for-r-d-senso}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Tensor-based multiple denoising via successive spatial smoothing, low-rank approximation and reconstruction for R-D sensor array processing — https://4ort.xyz/entity/tensor-based-multiple-denoising-via-successive-spatial-smoothing-low-rank-approximation-and-reconstruction-for-r-d-senso (retrieved 2026-05-24)