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