2 papers
cs.IT2026
State-Evolution-based Score Matching for Generalized Approximate Message Passing
Tomoharu Furudoi, Takumi Takahashi, Hideki Ochiai
Generalized approximate message passing (GAMP) equipped with minimum mean-square error (MMSE) denoisers, commonly referred to as Bayes-GAMP, is a powerful framework for solving inv…
eess.SP2024
Discrete-Valued Signal Estimation via Low-Complexity Message Passing Algorithm for Highly Correlated Measurements
Tomoharu Furudoi, Takumi Takahashi, Shinsuke Ibi +1
This paper considers a discrete-valued signal estimation scheme based on a low-complexity Bayesian optimal message passing algorithm (MPA) for solving massive linear inverse proble…