2 papers
math.OC2021
-Optimal Reduction of Positive Networks using Riemannian Augmented Lagrangian Method
Sota Misawa, Kazuhiro Sato
In this study, we formulate the model reduction problem of a stable and positive network system as a constrained Riemannian optimization problem with the -error objective func…
cs.SD2021
Speech Enhancement by Noise Self-Supervised Rank-Constrained Spatial Covariance Matrix Estimation via Independent Deeply Learned Matrix Analysis
Sota Misawa, Norihiro Takamune, Tomohiko Nakamura +4
Rank-constrained spatial covariance matrix estimation (RCSCME) is a method for the situation that the directional target speech and the diffuse noise are mixed. In conventional RCS…