Universal context based decoding with non-systematic low-density parity-check codes Conference Paper

abstract

• Universal estimation strategies with the recently developed non-systematic split-LDPC codes are proposed to improve channel decoding of sequences that contain context based redundancy. The new methods combine techniques from universal compression, such as the Burrows-Wheeler Transform (BWT), and segmentation of piecewise stationary memoryless sources (PSMS's) with recently proposed methods of discrete denoising. Simulation results with non-systematic low density parity check codes show significant improvements of the proposed methods on systematic LDPC codes, even when the actual sequence context model is unknown in advance. The combined method with the non-systematic split-LDPC codes inherits the advantages of each of the separate methods. 2007 IEEE.

name of conference

• 2007 41st Annual Conference on Information Sciences and Systems

authors

• Boutros, Joseph

published proceedings

• 2007 41ST ANNUAL CONFERENCE ON INFORMATION SCIENCES AND SYSTEMS, VOLS 1 AND 2

author list (cited authors)

• Wang, L. i., Shamir, G. I., & Boutros, J. J.

citation count

• 0

complete list of authors

• Wang, Li||Shamir, Gil I||Boutros, Joseph J

publication date

• March 2007

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

keywords

• Burrows Wheeler Transform (bwt)
• Discrete Universal Denoiser (dude)
• Non-systematic Low Density Parity Check (ldpc) Codes
• Piecewise Stationary Memoryless Source (psms)
• Source Controlled Channel Decoding

Digital Object Identifier (DOI)

• 10.1109/ciss.2007.4298351

International Standard Book Number (ISBN) 10

• 1424410371

International Standard Book Number (ISBN) 13

• 978-1-4244-1036-1

start page

• 469

end page

• +

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Fciss.2007.4298351