ABSTRACT
The nonsmooth and nonconvex regularization has many applications in imaging science and machine learning research due to its excellent recovery performance. A proximal iteratively reweighted nuclear norm algorithm has been proposed for the nonsmooth and nonconvex matrix minimizations. In this paper, we aim to investigate the convergence of the algorithm. With the Kurdyka-Lojasiewicz property, we prove the algorithm globally converges to a critical point of the objective function. The numerical results presented in this paper coincide with our theoretical findings.
ABSTRACT
This paper introduces the design of automatic biochemistry analyzer based on CAN field bus. The hardware and software of a single network node and several problems are narrated. Some related flow charts and source codes are also given. The involvement of CAN bus in the design of automatic biochemistry analyzer enhances the efficiency and the degree of automatization.
