3 papers
cs.IT2026
Direct and Converse Theorems in Estimating Signals with Sublinear Sparsity
Keigo Takeuchi
This paper addresses the estimation of signals with sublinear sparsity sent over the additive white Gaussian noise channel. This fundamental problem arises in designing denoisers u…
cs.IT2026
Generalized Orthogonal Approximate Message-Passing for Sublinear Sparsity
Keigo Takeuchi
This paper addresses the reconstruction of sparse signals from generalized linear measurements. Signal sparsity is assumed to be sublinear in the signal dimension while it was prop…
cs.IT2025
Generalized Approximate Message-Passing for Compressed Sensing with Sublinear Sparsity
Keigo Takeuchi
This paper addresses the reconstruction of an unknown signal vector with sublinear sparsity from generalized linear measurements. Generalized approximate message-passing (GAMP) is…