Prediction errors for penalized regressions based on generalized approximate message passing
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Physics A: Mathematical and Theoretical"
DOI: 10.1088/1751-8121/acb530
Abstract: We discuss the prediction accuracy of assumed statistical models in terms of prediction errors for the generalized linear model and penalized maximum likelihood methods. We derive the forms of estimators for the prediction errors, such… read more here.
Keywords: prediction errors; generalized approximate; message passing; prediction ... See more keywords
Parametric Bilinear Iterative Generalized Approximate Message Passing Reception of FTN Multi-Carrier Signaling
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2021.3114873
Abstract: A low-complexity parametric bilinear generalized approximate message passing (PBiGAMP)-based receiver is conceived for multi-carrier faster-than-Nyquist (MFTN) signaling over frequency-selective fading channels. To mitigate the inherent ill-conditioning problem of MFTN signaling, we construct a segment-based frequency-domain… read more here.
Keywords: generalized approximate; approximate message; pbigamp based; message passing ... See more keywords
Approximate Message Passing for Channel Estimation in Reconfigurable Intelligent Surface Aided MIMO Multiuser Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2022.3182369
Abstract: Channel estimation is one of the main challenges for implementing reconfigurable intelligent surface (RIS)-aided communication system with a large number of antennas at the base station (BS) because RIS is equipped with many passive reflective… read more here.
Keywords: intelligent surface; channel estimation; reconfigurable intelligent; estimation ... See more keywords
Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Information Theory"
DOI: 10.1109/tit.2020.3025272
Abstract: SLOPE is a relatively new convex optimization procedure for high-dimensional linear regression via the sorted $\ell _{1}$ penalty: the larger the rank of the fitted coefficient, the larger the penalty. This non-separable penalty renders many… read more here.
Keywords: penalty; slope; slope solution; message passing ... See more keywords
Generalized Approximate Message Passing Equalization for Multi-Carrier Faster-Than-Nyquist Signaling
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2021.3138866
Abstract: Multi-carrier faster-than-Nyquist (MFTN) signaling constitutes a promising spectrally efficient non-orthogonal physical layer waveform. In this correspondence, we propose a pair of low-complexity generalized approximate message passing (GAMP)-based frequency-domain equalization (FDE) algorithms for MFTN systems operating… read more here.
Keywords: generalized approximate; message passing; faster nyquist; multi carrier ... See more keywords
Robust Quantitative Susceptibility Mapping via Approximate Message Passing
Sign Up to like & getrecommendations! Published in 2022 at "Magnetic resonance in medicine"
DOI: 10.48550/arxiv.2207.14709
Abstract: PURPOSE For quantitative susceptibility mapping (QSM), the lack of ground-truth in clinical settings makes it challenging to determine suitable parameters for the dipole inversion. We propose a probabilistic Bayesian approach for QSM with built-in parameter… read more here.
Keywords: susceptibility mapping; amp; message passing; susceptibility ... See more keywords