100 citations · 114 across the 6 of their papers we have counts for
7 papers
Device Detection and Channel Estimation in MTC with Correlated Activity Pattern
Hamza Djelouat, Mikko J. Sillanpää, Markku Juntti
This paper provides a solution for the activity detection and channel estimation problem in grant-free access with correlated device activity patterns. In particular, we consider a…
Hierarchical MTC User Activity Detection and Channel Estimation with Unknown Spatial Covariance
Hamza Djelouat, Mikko J. Sillanpää, Markus Leinonen +1
This paper addresses the joint user identification and channel estimation (JUICE) problem in machine-type communications under the practical spatially correlated channels model wit…
Sequential model correction for nonlinear inverse problems
Arttu Arjas, Mikko J. Sillanpää, Andreas Hauptmann
Inverse problems are in many cases solved with optimization techniques. When the underlying model is linear, first-order gradient methods are usually sufficient. With nonlinear mod…
Neural Network Kalman filtering for 3D object tracking from linear array ultrasound data
Arttu Arjas, Erwin J. Alles, Efthymios Maneas +4
Many interventional surgical procedures rely on medical imaging to visualise and track instruments. Such imaging methods not only need to be real-time capable, but also provide acc…
Blind hierarchical deconvolution
Arttu Arjas, Lassi Roininen, Mikko J. Sillanpää +1
Deconvolution is a fundamental inverse problem in signal processing and the prototypical model for recovering a signal from its noisy measurement. Nevertheless, the majority of mod…
Edge computing server placement with capacitated location allocation
Tero Lähderanta, Teemu Leppänen, Leena Ruha +5
The deployment of edge computing infrastructure requires a careful placement of the edge servers, with an aim to improve application latencies and reduce data transfer load in oppo…
Prioritizing covariates in the planning of future studies in the meta-analytic framework
Juha Karvanen, Mikko J. Sillanpää
Science can be seen as a sequential process where each new study augments evidence to the existing knowledge. To have the best prospects to make an impact in this process, a new st…