Title : 
Penalty Functions Derived From Monotone Mappings
         
        
        
            Author_Institution : 
Dept. of Electron. & Commun. Eng., Istanbul Tech. Univ., Istanbul, Turkey
         
        
        
        
        
        
        
        
            Abstract : 
We consider the problem of constructing a penalty function associated with a given monotone function. We provide a construction that allows the monotone function to be discontinuous or bounded. We show that, although the penalty may be non-convex, it is weakly convex. We briefly discuss the implications for iterative solutions of linear inverse problems.
         
        
            Keywords : 
signal denoising; hard threshold; iterative solutions; linear inverse problems; monotone denoising operator; monotone mappings; penalty functions; Convex functions; Cost function; Inverse problems; Iterative methods; Noise measurement; Noise reduction; Reconstruction algorithms; Hard threshold; monotone denoising operator; non-convex penalty; weakly convex;
         
        
        
            Journal_Title : 
Signal Processing Letters, IEEE
         
        
        
        
        
            DOI : 
10.1109/LSP.2014.2357681