DHF: A Generative AI Approach to Data-Efficient Signal Separation for Wearable Embedded Systems.

Saffarpour M, Li Z, Vali K, Qian W, Kasap B, Ghiasi S

DOI: 10.1145/3820374
Published: 2026 Sep
Container: ACM transactions on embedded computing systems : TECS
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1145/3820374,
  title = {DHF: A Generative AI Approach to Data-Efficient Signal Separation for Wearable Embedded Systems.},
  author = {Saffarpour M and Li Z and Vali K and Qian W and Kasap B and Ghiasi S},
  year = {2026},
  journal = {ACM transactions on embedded computing systems : TECS},
  doi = {10.1145/3820374},
  url = {https://doi.org/10.1145/3820374}
}

RIS

TY  - JOUR
TI  - DHF: A Generative AI Approach to Data-Efficient Signal Separation for Wearable Embedded Systems.
AU  - Saffarpour M
AU  - Li Z
AU  - Vali K
AU  - Qian W
AU  - Kasap B
AU  - Ghiasi S
PY  - 2026
JO  - ACM transactions on embedded computing systems : TECS
DO  - 10.1145/3820374
UR  - https://doi.org/10.1145/3820374
ER  -

APA

M, S., Z, L., K, V., W, Q., B, K., & S, G. (2026). DHF: A Generative AI Approach to Data-Efficient Signal Separation for Wearable Embedded Systems.. ACM transactions on embedded computing systems : TECS. https://doi.org/10.1145/3820374

Source records

pubmed · retrieved 2026-11-10T06:09:14.510Z
europe-pmc · retrieved 2026-11-10T06:09:14.516Z