A quadratic sigmoid neural equalizer for nonlinear digital magnetic recording channels

Sooyong Choi; Sunghwan Ong; Cheolwoo You; Daesik Hong

doi:10.1109/4234.718497

A quadratic sigmoid neural equalizer for nonlinear digital magnetic recording channels

Sooyong Choi, Sunghwan Ong, Cheolwoo You, Daesik Hong

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

A new neural equalizer is proposed in order to compensate for intersymbol interference and to mitigate nonlinear distortions in digital magnetic recording systems. The proposed equalizer uses the quadratic sigmoid function as the activation function. The performance of the proposed equalizer is compared to those of a decision-feedback equalizer (DFE) and a neural decision feedback equalizer (NDFE) in terms of bit-error rate in nonlinear digital magnetic recording channels. Simulation results demonstrate that the proposed equalizer outperforms both DFE and NDFE.

Original language	English
Pages (from-to)	263-265
Number of pages	3
Journal	IEEE Communications Letters
Volume	2
Issue number	9
DOIs	https://doi.org/10.1109/4234.718497
Publication status	Published - 1998

Bibliographical note

Funding Information:
Manuscript received November 19, 1997. The associate editor coordinating the review of this letter and approving it for publication was Prof. H. V. Poor. This work (97K3-0803-01-04-1) was supported in part by the Korea Science and Engineering Foundation.

All Science Journal Classification (ASJC) codes

Modelling and Simulation
Computer Science Applications
Electrical and Electronic Engineering

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10.1109/4234.718497

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abstract = "A new neural equalizer is proposed in order to compensate for intersymbol interference and to mitigate nonlinear distortions in digital magnetic recording systems. The proposed equalizer uses the quadratic sigmoid function as the activation function. The performance of the proposed equalizer is compared to those of a decision-feedback equalizer (DFE) and a neural decision feedback equalizer (NDFE) in terms of bit-error rate in nonlinear digital magnetic recording channels. Simulation results demonstrate that the proposed equalizer outperforms both DFE and NDFE.",

author = "Sooyong Choi and Sunghwan Ong and Cheolwoo You and Daesik Hong",

note = "Funding Information: Manuscript received November 19, 1997. The associate editor coordinating the review of this letter and approving it for publication was Prof. H. V. Poor. This work (97K3-0803-01-04-1) was supported in part by the Korea Science and Engineering Foundation.",

year = "1998",

doi = "10.1109/4234.718497",

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AU - You, Cheolwoo

AU - Hong, Daesik

N1 - Funding Information: Manuscript received November 19, 1997. The associate editor coordinating the review of this letter and approving it for publication was Prof. H. V. Poor. This work (97K3-0803-01-04-1) was supported in part by the Korea Science and Engineering Foundation.

PY - 1998

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N2 - A new neural equalizer is proposed in order to compensate for intersymbol interference and to mitigate nonlinear distortions in digital magnetic recording systems. The proposed equalizer uses the quadratic sigmoid function as the activation function. The performance of the proposed equalizer is compared to those of a decision-feedback equalizer (DFE) and a neural decision feedback equalizer (NDFE) in terms of bit-error rate in nonlinear digital magnetic recording channels. Simulation results demonstrate that the proposed equalizer outperforms both DFE and NDFE.

AB - A new neural equalizer is proposed in order to compensate for intersymbol interference and to mitigate nonlinear distortions in digital magnetic recording systems. The proposed equalizer uses the quadratic sigmoid function as the activation function. The performance of the proposed equalizer is compared to those of a decision-feedback equalizer (DFE) and a neural decision feedback equalizer (NDFE) in terms of bit-error rate in nonlinear digital magnetic recording channels. Simulation results demonstrate that the proposed equalizer outperforms both DFE and NDFE.

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A quadratic sigmoid neural equalizer for nonlinear digital magnetic recording channels

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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