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cs.IT2026
Sparse Signal Recovery Using Log-Sum Regularization and Adaptive Smoothing
Keisuke Morita, Masayuki Ohzeki
We study sparse signal recovery from noisy linear observations using nonconvex log-sum regularization. The log-sum penalty reduces the shrinkage bias of regularization and…
cs.IT2026
Phase transition in compressed sensing using log-sum penalty and adaptive smoothing
Keisuke Morita, Federico Ricci-Tersenghi, Masayuki Ohzeki
In many real-world problems, recovering sparse signals from underdetermined linear systems remains a fundamental challenge. Although norm minimization is widely used, it s…