On implementation of min-sum algorithm and its modifications for decoding low-density Parity-check (LDPC) codes

The effects of clipping and quantization on the performance of the min-sum algorithm for the decoding of low-density parity-check (LDPC) codes at short and intermediate block lengths are studied. It is shown that in many cases, only four quantization bits suffice to obtain close to ideal performance...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on communications Vol. 53; no. 4; pp. 549 - 554
Main Authors:	Jianguang Zhao, Zarkeshvari, F., Banihashemi, A.H.
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.04.2005 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Additive white noise Algorithms Applied sciences AWGN Blocking Broadband communication Clipping Coding, codes Decibels Decoding Errors Exact sciences and technology Information, signal and communications theory Iterative algorithms Iterative decoding iterative decoding algorithms low-density parity-check (LDPC) codes max-product algorithm max-sum algorithm min-sum algorithm modified min-sum algorithms Parity check codes Quantization Signal and communications theory Signal to noise ratio Systems engineering and theory Telecommunications and information theory Wireless communication max-product algorithm Quantization min-sum algorithm Iterative method iterative decoding algorithms Decoding max-sum algorithm Algorithm modified min-sum algorithms Simulation low-density parity-check (LDPC) codes Clipping Parity check codes
ISSN:	0090-6778, 1558-0857
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!