Janne M. J. Huttunen

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 18

Top Topics

Spatially Correlated

Approximation Error

Top Venues

IEEE Trans. Wirel. Commun.

SIAM J. Sci. Comput.

Publications

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) (2023)
Janne M. J. Huttunen, Dani Korpi, Mikko Honkala
DeepTx: Deep Learning Beamforming With Channel Prediction. IEEE Trans. Wirel. Commun. 22 (3) (2023)
Dani Korpi, Mikko Honkala, Janne M. J. Huttunen
Deep Learning-Based Pilotless Spatial Multiplexing. ACSSC (2023)
Dani Korpi, Mikko Honkala, Janne M. J. Huttunen
Deep Learning-Based Pilotless Spatial Multiplexing. CoRR (2023)
Dani Korpi, Mikko Honkala, Janne M. J. Huttunen, Fayçal Ait Aoudia, Jakob Hoydis
Waveform Learning for Reduced Out-of-Band Emissions Under a Nonlinear Power Amplifier. CoRR (2022)
Janne M. J. Huttunen, Dani Korpi, Mikko Honkala
DeepTx: Deep Learning Beamforming with Channel Prediction. CoRR (2022)
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)
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 (2021)
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)
Mikko Honkala, Dani Korpi, Janne M. J. Huttunen
DeepRx: Fully Convolutional Deep Learning Receiver. IEEE Trans. Wirel. Commun. 20 (6) (2021)
Dani Korpi, Mikko Honkala, Janne M. J. Huttunen, Vesa Starck
DeepRx MIMO: Convolutional MIMO Detection with Learned Multiplicative Transformations. ICC (2021)
Dani Korpi, Mikko Honkala, Janne M. J. Huttunen, Vesa Starck
DeepRx MIMO: Convolutional MIMO Detection with Learned Multiplicative Transformations. CoRR (2020)
Mikko Honkala, Dani Korpi, Janne M. J. Huttunen
DeepRx: Fully Convolutional Deep Learning Receiver. CoRR (2020)
Janne M. J. Huttunen, Leo Kärkkäinen, Harri Lindholm
Pulse transit time estimation of aortic pulse wave velocity and blood pressure using machine learning and simulated training data. PLoS Comput. Biol. 15 (8) (2019)
Eeva-Sofia Haukipuro, Ville Kolehmainen, Janne M. J. Huttunen, Sebastian Remander, Janne Salo, Tuomas Takko, Le Ngu Nguyen, Stephan Sigg, Rainhard Dieter Findling
Mobile Brainwaves: On the Interchangeability of Simple Authentication Tasks with Low-Cost, Single-Electrode EEG Devices. IEICE Trans. Commun. (4) (2019)
Antti Lipponen, Janne M. J. Huttunen, Sami Romakkaniemi, Harri Kokkola, Ville Kolehmainen
Correction of Model Reduction Errors in Simulations. SIAM J. Sci. Comput. 40 (1) (2018)
Janne M. J. Huttunen, Jari P. Kaipio, Heikki Haario
Approximation error approach in spatiotemporally chaotic models with application to Kuramoto-Sivashinsky equation. Comput. Stat. Data Anal. 123 (2018)
Janne M. J. Huttunen, Mikael J. Turunen, Juuso T. J. Honkanen, Juha Töyräs, Jukka S. Jurvelin
Estimation of Systematic and Spatially Correlated Components of Random Signals from Repeated Measurements: Application to Contrast Enhanced Computer Tomography Measurements. SIAM J. Sci. Comput. 38 (1) (2016)