Design of Graph Filter Using Least-Squares Method with Parameter Norm Penalty
Chien‐Cheng Tseng, Su‐Ling Lee · 2020
In this paper, the designs of graph filters using leastsquares (LS) method with parameter norm penalty are studied. First, the design problem of the graph filter which can be used to process irregular sensor network data is described. Then, the conventional LS method is employed to design graph filter and its numerical stability problem in high-order filter case is presented. Next, to solve numerical stability problem, the LS method with parameter norm penalty is applied to design the graph filter. Finally, the design examples are demonstrated to show the effectiveness of the proposed design method.