Janne M. J. Huttunen

According to our database, Janne M. J. Huttunen authored at least 13 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Deep Learning OFDM Receivers for Improved Power Efficiency and Coverage.

Jaakko Pihlajasalo, Dani Korpi, Mikko Honkala, Janne M. J. Huttunen, Taneli Riihonen, Jukka Talvitie, Alberto Brihuega, Mikko A. Uusitalo, Mikko Valkama

IEEE Trans. Wirel. Commun., August, 2023

DeepTx: Deep Learning Beamforming With Channel Prediction.

Janne M. J. Huttunen, Dani Korpi, Mikko Honkala

IEEE Trans. Wirel. Commun., March, 2023

Deep Learning-Based Pilotless Spatial Multiplexing.

Dani Korpi, Mikko Honkala, Janne M. J. Huttunen

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Waveform Learning for Reduced Out-of-Band Emissions Under a Nonlinear Power Amplifier.

Dani Korpi, Mikko Honkala, Janne M. J. Huttunen, Fayçal Ait Aoudia, Jakob Hoydis

CoRR, 2022

2021

DeepRx: Fully Convolutional Deep Learning Receiver.

Mikko Honkala, Dani Korpi, Janne M. J. Huttunen

IEEE Trans. Wirel. Commun., 2021

HybridDeepRx: Deep Learning Receiver for High-EVM Signals.

Jaakko Pihlajasalo, Dani Korpi, Mikko Honkala, Janne M. J. Huttunen, Taneli Riihonen, Jukka Talvitie, Alberto Brihuega, Mikko A. Uusitalo, Mikko Valkama

Proceedings of the 32nd IEEE Annual International Symposium on Personal, 2021

DeepRx MIMO: Convolutional MIMO Detection with Learned Multiplicative Transformations.

Dani Korpi, Mikko Honkala, Janne M. J. Huttunen, Vesa Starck

Proceedings of the ICC 2021, 2021

Deep Learning Based OFDM Physical-Layer Receiver for Extreme Mobility.

Jaakko Pihlajasalo, Dani Korpi, Mikko Honkala, Janne M. J. Huttunen, Taneli Riihonen, Jukka Talvitie, Mikko A. Uusitalo, Mikko Valkama

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2019

Pulse transit time estimation of aortic pulse wave velocity and blood pressure using machine learning and simulated training data.

Janne M. J. Huttunen, Leo Kärkkäinen, Harri Lindholm

PLoS Comput. Biol., 2019

Mobile Brainwaves: On the Interchangeability of Simple Authentication Tasks with Low-Cost, Single-Electrode EEG Devices.

Eeva-Sofia Haukipuro, Ville Kolehmainen, Janne M. J. Huttunen, Sebastian Remander, Janne Salo, Tuomas Takko, Le Ngu Nguyen, Stephan Sigg, Rainhard Dieter Findling

IEICE Trans. Commun., 2019

2018

Correction of Model Reduction Errors in Simulations.

Antti Lipponen, Janne M. J. Huttunen, Sami Romakkaniemi, Harri Kokkola, Ville Kolehmainen

SIAM J. Sci. Comput., 2018

Approximation error approach in spatiotemporally chaotic models with application to Kuramoto-Sivashinsky equation.

Janne M. J. Huttunen, Jari P. Kaipio, Heikki Haario

Comput. Stat. Data Anal., 2018

2016

Estimation of Systematic and Spatially Correlated Components of Random Signals from Repeated Measurements: Application to Contrast Enhanced Computer Tomography Measurements.

Janne M. J. Huttunen, Mikael J. Turunen, Juuso T. J. Honkanen, Juha Töyräs, Jukka S. Jurvelin

SIAM J. Sci. Comput., 2016