3 papers
cs.IT2025
Approximate Proximal Operators for Analog Compressed Sensing Using PN-junction Diode
Soma Furusawa, Taisei Kato, Ryo Hayakawa +1
In order to realize analog compressed sensing, the paper considers approximate proximal operators of the and minimax concave penalty (MCP) regularization functions. Specif…
eess.SP2025
Asymptotics of Proximity Operator for Squared Loss and Performance Prediction of Nonconvex Sparse Signal Recovery
Ryo Hayakawa
Proximal splitting-based convex optimization is a promising approach to linear inverse problems because we can use some prior knowledge of the unknown variables explicitly. An unde…
eess.SP2025
Noise Variance Estimation Using Asymptotic Residual in Compressed Sensing
Ryo Hayakawa
In compressed sensing, measurements are typically contaminated by additive noise, and therefore, information about the noise variance is often needed to design algorithms. In this…