Showing eess.SPShow all
3 papers · 1 filter
eess.SP2025
Nonlinear Sparse Bayesian Learning Methods with Application to Massive MIMO Channel Estimation with Hardware Impairments
Arttu Arjas, Italo Atzeni
Accurate channel estimation is critical for realizing the performance gains of massive multiple-input multiple-output (MIMO) systems. Traditional approaches to channel estimation t…
eess.SP2025
Enhanced Sparse Bayesian Learning Methods with Application to Massive MIMO Channel Estimation
Arttu Arjas, Italo Atzeni
We consider the problem of sparse channel estimation in massive multiple-input multiple-output systems. In this context, we propose an enhanced version of the sparse Bayesian learn…
eess.SP2020
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…