Title : 
Constellation shaping as a geometrical approach to solving a constrained optimization problem
         
        
        
            Author_Institution : 
Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
         
        
        
            fDate : 
27 Jun-1 Jul 1994
         
        
        
            Abstract : 
The work addresses the following two problems in conjunction with a shaped constellation: (i) constellation shaping as a means of spectral shaping, (ii) optimum addressing to minimize the effect of channel errors on the end-to-end source distortion. These are expressed in terms of two constrained optimization procedures
         
        
            Keywords : 
constraint theory; error analysis; information theory; minimisation; telecommunication channels; channel errors; constellation shaping; constrained optimization problem; end-to-end source distortion; geometrical approach; shaped constellation; spectral shaping; Constraint optimization; Costs; Distortion measurement; Energy measurement; Frequency; Lagrangian functions; Linear systems; Multidimensional systems; Performance analysis; Time factors;
         
        
        
        
            Conference_Titel : 
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
         
        
            Conference_Location : 
Trondheim
         
        
            Print_ISBN : 
0-7803-2015-8
         
        
        
            DOI : 
10.1109/ISIT.1994.394688