Combinaton of nonlinear equalization and simple detection

Hangyu Cho; Choongchae Woo; Daesik Hong

Combinaton of nonlinear equalization and simple detection

Hangyu Cho, Choongchae Woo, Daesik Hong

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Conference article › peer-review

Abstract

The linear equalizer in PRML was replaced with partial response neural equalizer (PRNEML) to combat nonlinear distortions. The advantage of discrete matched filter structure was that the decision feedback could be incorporated into neural networks. MDFE with neural networks yielded poor performance due to conditional training of inner-level eye-pattern.

Original language	English
Pages (from-to)	EC04
Journal	Digests of the Intermag Conference
Publication status	Published - 2002
Event	2002 IEEE International Magnetics Conference-2002 IEEE INTERMAG - Amsterdam, Netherlands Duration: 2002 Apr 28 → 2002 May 2

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Cite this

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title = "Combinaton of nonlinear equalization and simple detection",

abstract = "The linear equalizer in PRML was replaced with partial response neural equalizer (PRNEML) to combat nonlinear distortions. The advantage of discrete matched filter structure was that the decision feedback could be incorporated into neural networks. MDFE with neural networks yielded poor performance due to conditional training of inner-level eye-pattern.",

author = "Hangyu Cho and Choongchae Woo and Daesik Hong",

year = "2002",

language = "English",

pages = "EC04",

journal = "Digests of the Intermag Conference",

issn = "0074-6843",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "2002 IEEE International Magnetics Conference-2002 IEEE INTERMAG ; Conference date: 28-04-2002 Through 02-05-2002",

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TY - JOUR

T1 - Combinaton of nonlinear equalization and simple detection

AU - Cho, Hangyu

AU - Woo, Choongchae

AU - Hong, Daesik

PY - 2002

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N2 - The linear equalizer in PRML was replaced with partial response neural equalizer (PRNEML) to combat nonlinear distortions. The advantage of discrete matched filter structure was that the decision feedback could be incorporated into neural networks. MDFE with neural networks yielded poor performance due to conditional training of inner-level eye-pattern.

AB - The linear equalizer in PRML was replaced with partial response neural equalizer (PRNEML) to combat nonlinear distortions. The advantage of discrete matched filter structure was that the decision feedback could be incorporated into neural networks. MDFE with neural networks yielded poor performance due to conditional training of inner-level eye-pattern.

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UR - http://www.scopus.com/inward/citedby.url?scp=17944395176&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:17944395176

SN - 0074-6843

SP - EC04

JO - Digests of the Intermag Conference

JF - Digests of the Intermag Conference

T2 - 2002 IEEE International Magnetics Conference-2002 IEEE INTERMAG

Y2 - 28 April 2002 through 2 May 2002

ER -

Combinaton of nonlinear equalization and simple detection

Abstract

All Science Journal Classification (ASJC) codes

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