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ORCIDJaakko Pihlajasalo
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2020 – today
- 2023
[j1]Jaakko Pihlajasalo
, Dani Korpi, Mikko Honkala, Janne M. J. Huttunen, Taneli Riihonen, Jukka Talvitie, Alberto Brihuega, Mikko A. Uusitalo, Mikko Valkama:
Deep Learning OFDM Receivers for Improved Power Efficiency and Coverage. IEEE Trans. Wirel. Commun. 22(8): 5518-5535 (2023)- 2022
- [c6]Jaakko Pihlajasalo, Dani Korpi, Taneli Riihonen, Jukka Talvitie, Mikko A. Uusitalo, Mikko Valkama:
Detection of Impaired OFDM Waveforms Using Deep Learning Receiver. SPAWC 2022: 1-5 - 2021
- [c5]Jaakko Pihlajasalo, Dani Korpi, Mikko Honkala, Janne M. J. Huttunen, Taneli Riihonen, Jukka Talvitie, Mikko A. Uusitalo, Mikko Valkama:
Deep Learning Based OFDM Physical-Layer Receiver for Extreme Mobility. ACSCC 2021: 395-399 - [c4]Roman Klus, Lucie Klus, Jukka Talvitie, Jaakko Pihlajasalo, Joaquín Torres-Sospedra, Mikko Valkama:
Transfer Learning for Convolutional Indoor Positioning Systems. IPIN 2021: 1-8 - [c3]Jaakko Pihlajasalo, Dani Korpi, Mikko Honkala, Janne M. J. Huttunen, Taneli Riihonen, Jukka Talvitie, Alberto Brihuega, Mikko A. Uusitalo, Mikko Valkama:
HybridDeepRx: Deep Learning Receiver for High-EVM Signals. PIMRC 2021: 622-627 - [i1]Jaakko Pihlajasalo, Dani Korpi, Mikko Honkala, Janne M. J. Huttunen, Taneli Riihonen, Jukka Talvitie, Alberto Brihuega, Mikko A. Uusitalo, Mikko Valkama:
HybridDeepRx: Deep Learning Receiver for High-EVM Signals. CoRR abs/2106.16079 (2021) - 2020
- [c2]Jaakko Pihlajasalo, Mike Koivisto, Jukka Talvitie, Simo Ali-Löytty, Mikko Valkama:
Absolute Positioning with Unsupervised Multipoint Channel Charting for 5G Networks. VTC Fall 2020: 1-5
2010 – 2019
- 2019
- [c1]Jaakko Pihlajasalo, Helena Leppäkoski, Saara Kuismanen, Simo Ali-Löytty, Robert Piché:
Methods for Long-Term GNSS Clock Offset Prediction. ICL-GNSS 2019: 1-6
Coauthor Index
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