Encoding of spatially coupled LDGM codes for lossy source compression
Document Type
Article
Publication Date
11-1-2018
Abstract
It has been shown that a class of spatially coupled low-density generator-matrix (SC-LDGM) code ensembles displays distortion saturation for the lossy binary symmetric source coding problem with the belief propagation guided decimation (BPGD) algorithm, i.e., the BPGD distortion approaches the optimal expected distortion of the underlying ensemble asymptotically in code length. We investigate the distortion performance of a practical class of protograph-based SC-LDGM code ensembles and demonstrate distortion saturation numerically. Moreover, taking advantage of the convolutional structure of the SC-LDGM codes, we propose an efficient windowed encoding (WE) algorithm with two decimation techniques for lowering the WE complexity that maintain distortion performance close to the rate-distortion bound.
Identifier
85048690970 (Scopus)
Publication Title
IEEE Transactions on Communications
External Full Text Location
https://doi.org/10.1109/TCOMM.2018.2848241
e-ISSN
15580857
ISSN
00906778
First Page
5691
Last Page
5703
Issue
11
Volume
66
Grant
1710920
Fund Ref
National Science Foundation
Recommended Citation
Golmohammadi, Ahmad; Mitchell, David G.M.; Kliewer, Jorg; and Costello, Daniel J., "Encoding of spatially coupled LDGM codes for lossy source compression" (2018). Faculty Publications. 8291.
https://digitalcommons.njit.edu/fac_pubs/8291
