Domain-Adaptive Direction of Arrival (DOA) Estimation in Complex Indoor Environments Based on Convolutional Autoencoder and Transfer Learning.

Shen L, Li J, Pan J, Shi J, Xu R, Wang H, Deng W.

Open source

DOI: 10.3390/s25102959
Published: 2025-05-08
Container: Sensors (Basel)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s25102959,
  title = {Domain-Adaptive Direction of Arrival (DOA) Estimation in Complex Indoor Environments Based on Convolutional Autoencoder and Transfer Learning.},
  author = {Shen L and  Li J and  Pan J and  Shi J and  Xu R and  Wang H and  Deng W.},
  year = {2025},
  journal = {Sensors (Basel)},
  doi = {10.3390/s25102959},
  url = {https://doi.org/10.3390/s25102959}
}

RIS

TY  - JOUR
TI  - Domain-Adaptive Direction of Arrival (DOA) Estimation in Complex Indoor Environments Based on Convolutional Autoencoder and Transfer Learning.
AU  - Shen L
AU  -  Li J
AU  -  Pan J
AU  -  Shi J
AU  -  Xu R
AU  -  Wang H
AU  -  Deng W.
PY  - 2025
JO  - Sensors (Basel)
DO  - 10.3390/s25102959
UR  - https://doi.org/10.3390/s25102959
ER  -

APA

L, S., J, L., J, P., J, S., R, X., H, W., & W., D. (2025). Domain-Adaptive Direction of Arrival (DOA) Estimation in Complex Indoor Environments Based on Convolutional Autoencoder and Transfer Learning.. Sensors (Basel). https://doi.org/10.3390/s25102959

Source records

europe-pmc · retrieved 2026-09-25T02:55:14.885Z
doaj · retrieved 2026-09-25T02:55:14.855Z