DocumentCode :
2392608
Title :
A new upper bound on the reliability function of the Gaussian channel
Author :
Ashikhmin, A. ; Barg, A. ; Litsyn, S.
Author_Institution :
Bell Labs., Lucent Technol., Murray Hill, NJ, USA
fYear :
2000
fDate :
2000
Firstpage :
458
Abstract :
Upper bounds on the reliability function of the Gaussian channel were derived by Shannon in 1959. Kabatiansky and Levenshtein (1978) obtained a low-rate improvement of Shannon´s “minimum-distance bound”. Together with the straight-line bound this provided an improvement upon the sphere-packing bound in a certain range of code rate. We prove a bound better than the KL bound on the reliability function. Employing the straight-line bound, we obtain a further improvement of Shannon´s results. As intermediate results we prove lower bounds on the distance distribution of spherical codes and a tight bound on the exponent of Jacobi polynomials of growing degree in the entire orthogonality segment
Keywords :
Gaussian channels; codes; decoding; error statistics; polynomials; reliability; Gaussian channel; Jacobi polynomials exponent; KL bound; Shannon minimum-distance bound; code rate; decoding; distance distribution; error probability; lower bounds; reliability function; sphere-packing bound; spherical codes; straight-line bound; tight bound; upper bound; Entropy; Equations; Error probability; Gaussian channels; Gaussian noise; Information theory; Jacobian matrices; Maximum likelihood decoding; Signal to noise ratio; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 2000. Proceedings. IEEE International Symposium on
Conference_Location :
Sorrento
Print_ISBN :
0-7803-5857-0
Type :
conf
DOI :
10.1109/ISIT.2000.866756
Filename :
866756
Link To Document :
بازگشت