Deep learning as a highly efficient tool for digital signal processing design

Andrey Pryamikov

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DOI: 10.1038/s41377-024-01599-8
Published: 2024-09-11
Container: Light: Science & Applications
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41377-024-01599-8,
  title = {Deep learning as a highly efficient tool for digital signal processing design},
  author = {Andrey Pryamikov},
  year = {2024},
  journal = {Light: Science \&amp; Applications},
  doi = {10.1038/s41377-024-01599-8},
  url = {https://doi.org/10.1038/s41377-024-01599-8}
}

RIS

TY  - JOUR
TI  - Deep learning as a highly efficient tool for digital signal processing design
AU  - Andrey Pryamikov
PY  - 2024
JO  - Light: Science &amp; Applications
DO  - 10.1038/s41377-024-01599-8
UR  - https://doi.org/10.1038/s41377-024-01599-8
ER  -

APA

Pryamikov, A. (2024). Deep learning as a highly efficient tool for digital signal processing design. Light: Science & Applications. https://doi.org/10.1038/s41377-024-01599-8

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crossref · retrieved 2026-11-08T14:24:24.657Z