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Hongxin Song

dblp:71/5422 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2001
0000-0003-0325-3532ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 2 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Coding theory · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Storage systems · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Storage systems › magnetic recording
magnetic recording channel
0.012001
Applications of low-density parity-check codes to magnetic recording channels · IEEE J. Sel. Areas Commun. 2001
Coding theory
error-correcting codes
0.012001
Applications of low-density parity-check codes to magnetic recording channels · IEEE J. Sel. Areas Commun. 2001
Coding theory › error-correcting codes
LDPC codes
0.012001
Applications of low-density parity-check codes to magnetic recording channels · IEEE J. Sel. Areas Commun. 2001
Coding theory › error-correcting codes › decoding
iterative decoding
0.012001
Applications of low-density parity-check codes to magnetic recording channels · IEEE J. Sel. Areas Commun. 2001
Coding theory › error-correcting codes › decoding › iterative decoding › iterative detection and decoding
turbo equalization
0.012001
Applications of low-density parity-check codes to magnetic recording channels · IEEE J. Sel. Areas Commun. 2001

Methods — techniques the papers use, named apart from their topics

iterative decoding · 0.1QMTR channel coding · 0.1LDPC code design · 0.1
YearPublicationVenuePosition
2001 Applications of low-density parity-check codes to magnetic recording channels
abstract
We consider the use of high-rate low-density parity-check (LDPC) codes for magnetic recording. We design and evaluate the performance of a magnetic recording system, which uses an LDPC code as the error-correcting code, in conjunction with a rate 16/17 quasimaximum-transition-run (QMTR) channel code on a modified E/sup 2/PR4 (ME/sup 2/PR4)-equalized channel. Iterative decoding between the partial response channel and the LDPC code is performed. Simulations show that an additional four-dB gain over the QMTR code can be obtained by the LDPC code. The algorithms used to design this LDPC code are also discussed.
Hongxin Song, Richard M. Todd, J. R. Cruz
IEEE J. Sel. Areas Commun.1
2000 Block Turbo Codes for Magnetic Recording Channels
abstract
Block turbo codes have been shown to have near-optimum performance and lower decoding complexity than convolutional turbo codes for additive white Gaussian noise (AWGN) channels. In this paper we discuss the applicability of block turbo codes to partial-response (PR) equalized Lorentzian channels for magnetic recording. In particular, we consider the iterative decoding of product codes and parallel concatenated block codes. Simulation results show that both systems offer substantial gains over uncoded systems.
Hongxin Song, J. R. Cruz
ICC (1)1