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Applications of iterative decoding t...

The University of Oklahoma

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Applications of iterative decoding to magnetic recording channels.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Applications of iterative decoding to magnetic recording channels./
Author:	Song, Hongxin.
Description:	133 p.
Notes:	Adviser: J. R. Cruz.
Contained By:	Dissertation Abstracts International62-12B
Subject:	Engineering, Electronics and Electrical -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3038030
ISBN:	0493509615

Applications of iterative decoding to magnetic recording channels.
Song, Hongxin.

Applications of iterative decoding to magnetic recording channels. - 133 p.

Adviser: J. R. Cruz.

Thesis (Ph.D.)--The University of Oklahoma, 2002.

Three coding schemes are investigated for magnetic recording systems. Firstly, block turbo codes, including product codes and parallel block turbo codes, are considered on MRCs. Product codes with other types of component codes are briefly discussed.

ISBN: 0493509615Subjects--Topical Terms:

1260285
Engineering, Electronics and Electrical

Applications of iterative decoding to magnetic recording channels.
LDR:02226nam 2200301 a 45 001 936585
005 20110510
008 110510s2002 eng d
020 $a 0493509615
035 $a (UnM)AAI3038030
035 $a AAI3038030
040 $a UnM $c UnM
100 1 $a Song, Hongxin. $3 1260296
245 1 0 $a Applications of iterative decoding to magnetic recording channels.
300 $a 133 p.
500 $a Adviser: J. R. Cruz.
500 $a Source: Dissertation Abstracts International, Volume: 62-12, Section: B, page: 5889.
502 $a Thesis (Ph.D.)--The University of Oklahoma, 2002.
520 $a Three coding schemes are investigated for magnetic recording systems. Firstly, block turbo codes, including product codes and parallel block turbo codes, are considered on MRCs. Product codes with other types of component codes are briefly discussed.
520 $a Magnetic recoding channels (MRCs) are subject to noise contamination and error-correcting codes (ECCs) are used to keep the integrity of the data. Conventionally, hard decoding of the ECCs is performed. In this dissertation, systems using soft iterative decoding techniques are presented and their improved performance is established.
520 $a Secondly, binary low-density parity-check (LDPC) codes are proposed for MRCs. Random binary LDPC codes, finite-geometry LDPC codes and irregular LDPC codes are considered. With belief propagation decoding, LDPC systems are shown to have superior performance over current Reed-Solomon (RS) systems at the range possible for computer simulation. The issue of RS-LDPC concatenation is also addressed.
520 $a Finally, Q-ary LDPC (Q-LDPC) codes are considered for MRCs. Belief propagation decoding for binary LDPC codes is extended to Q-LDPC codes and a reduced-complexity decoding algorithm for Q-LDPC codes is developed. Q-LDPC coded systems perform very well with random noise as well as with burst erasures. Simulations show that Q-LDPC systems outperform RS systems
590 $a School code: 0169
650 $a Engineering, Electronics and Electrical $3 1260285
690 $a 054
710 2 $a The University of Oklahoma $3 1260297
773 0 $t Dissertation Abstracts International $g 62-12B
790 $a 016
790 1 $a Cruz, J. R., $e adviso
791 $a Ph.D
792 $a 200
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3038030