Janne M. J. Huttunen

21 papers B 2Misc 1Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
EqDeepRx: Learning a Scalable MIMO Receiver.
CoRR
Mikko Honkala, Dani Korpi, Elias Raninen, Janne M. J. Huttunen
2025 B conf
Adapting to Reality: Over-the-Air Validation of AI - Based Receivers Trained with Simulated Channels.
WCNC
Riku Luostari, Dani Korpi, Mikko Honkala, Janne M. J. Huttunen
2025 J jnl
Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer.
CoRR
Zhenrong Liu, Janne M. J. Huttunen, Mikko Honkala
2023 J jnl
Deep Learning OFDM Receivers for Improved Power Efficiency and Coverage.
IEEE Trans. Wirel. Commun.
Jaakko Pihlajasalo, Dani Korpi, Mikko Honkala, Janne M. J. Huttunen, Taneli Riihonen, Jukka Talvitie, Alberto Brihuega, Mikko A. Uusitalo, Mikko Valkama
2023 Misc conf
Deep Learning-Based Pilotless Spatial Multiplexing.
ACSSC
Dani Korpi, Mikko Honkala, Janne M. J. Huttunen
2023 J jnl
Deep Learning-Based Pilotless Spatial Multiplexing.
CoRR
Dani Korpi, Mikko Honkala, Janne M. J. Huttunen
2023 J jnl
DeepTx: Deep Learning Beamforming With Channel Prediction.
IEEE Trans. Wirel. Commun.
Janne M. J. Huttunen, Dani Korpi, Mikko Honkala
2022 J jnl
DeepTx: Deep Learning Beamforming with Channel Prediction.
CoRR
Janne M. J. Huttunen, Dani Korpi, Mikko Honkala
2022 J jnl
Waveform Learning for Reduced Out-of-Band Emissions Under a Nonlinear Power Amplifier.
CoRR
Dani Korpi, Mikko Honkala, Janne M. J. Huttunen, Fayçal Ait Aoudia, Jakob Hoydis
2021 — conf
Deep Learning Based OFDM Physical-Layer Receiver for Extreme Mobility.
ACSCC
Jaakko Pihlajasalo, Dani Korpi, Mikko Honkala, Janne M. J. Huttunen, Taneli Riihonen, Jukka Talvitie, Mikko A. Uusitalo, Mikko Valkama
2021 — conf
DeepRx MIMO: Convolutional MIMO Detection with Learned Multiplicative Transformations.
ICC
Dani Korpi, Mikko Honkala, Janne M. J. Huttunen, Vesa Starck
2021 J jnl
DeepRx: Fully Convolutional Deep Learning Receiver.
IEEE Trans. Wirel. Commun.
Mikko Honkala, Dani Korpi, Janne M. J. Huttunen
2021 B conf
HybridDeepRx: Deep Learning Receiver for High-EVM Signals.
PIMRC
Jaakko Pihlajasalo, Dani Korpi, Mikko Honkala, Janne M. J. Huttunen, Taneli Riihonen, Jukka Talvitie, Alberto Brihuega, Mikko A. Uusitalo, Mikko Valkama
2021 J jnl
HybridDeepRx: Deep Learning Receiver for High-EVM Signals.
CoRR
Jaakko Pihlajasalo, Dani Korpi, Mikko Honkala, Janne M. J. Huttunen, Taneli Riihonen, Jukka Talvitie, Alberto Brihuega, Mikko A. Uusitalo, Mikko Valkama
2020 J jnl
DeepRx MIMO: Convolutional MIMO Detection with Learned Multiplicative Transformations.
CoRR
Dani Korpi, Mikko Honkala, Janne M. J. Huttunen, Vesa Starck
2020 J jnl
DeepRx: Fully Convolutional Deep Learning Receiver.
CoRR
Mikko Honkala, Dani Korpi, Janne M. J. Huttunen
2019 J jnl
Mobile Brainwaves: On the Interchangeability of Simple Authentication Tasks with Low-Cost, Single-Electrode EEG Devices.
IEICE Trans. Commun.
Eeva-Sofia Haukipuro, Ville Kolehmainen, Janne M. J. Huttunen, Sebastian Remander, Janne Salo, Tuomas Takko, Le Ngu Nguyen, Stephan Sigg, Rainhard Dieter Findling
2019 J jnl
Pulse transit time estimation of aortic pulse wave velocity and blood pressure using machine learning and simulated training data.
PLoS Comput. Biol.
Janne M. J. Huttunen, Leo Kärkkäinen, Harri Lindholm
2018 J jnl
Approximation error approach in spatiotemporally chaotic models with application to Kuramoto-Sivashinsky equation.
Comput. Stat. Data Anal.
Janne M. J. Huttunen, Jari P. Kaipio, Heikki Haario
2018 J jnl
Correction of Model Reduction Errors in Simulations.
SIAM J. Sci. Comput.
Antti Lipponen, Janne M. J. Huttunen, Sami Romakkaniemi, Harri Kokkola, Ville Kolehmainen
2016 J jnl
Estimation of Systematic and Spatially Correlated Components of Random Signals from Repeated Measurements: Application to Contrast Enhanced Computer Tomography Measurements.
SIAM J. Sci. Comput.
Janne M. J. Huttunen, Mikael J. Turunen, Juuso T. J. Honkanen, Juha Töyräs, Jukka S. Jurvelin