Journal article
On the Design of Optimal Noisy Channel Scalar Quantizer with Random Index Assignment
Abstract
The general approach in a noisy channel scalar quantizer design is an iterative descent algorithm, which guarantees only a locally optimal solution. While sufficient conditions under which the local optimum becomes a global optimum are known in the noiseless channel case, such sufficient conditions were not derived for the noisy counterpart. Moreover, efficient globally optimal design techniques for general discrete distributions in the …
Authors
Dumitrescu S
Journal
IEEE Transactions on Information Theory, Vol. 62, No. 2, pp. 724–735
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
February 1, 2016
DOI
10.1109/tit.2015.2510658
ISSN
0018-9448