Measurement of MR induced nonlinearities using a novel single neuron model

The MR heads induced nonlinear effects include asymmetry and saturation. Superposition model with nonlinear transfer function are used to describe the magnetic recording channel with MR induced non-linearity 11-31, In which the transfer function is modeled by either a set of data based on measurem...

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Main Authors: Foo, Say Wei, Ye, Weichun, Lin, Maria Yu, Mathew, George, Bergmans, J. W. M.
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2009
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Online Access:https://hdl.handle.net/10356/101945
http://hdl.handle.net/10220/4633
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1019452020-03-07T13:24:50Z Measurement of MR induced nonlinearities using a novel single neuron model Foo, Say Wei Ye, Weichun Lin, Maria Yu Mathew, George Bergmans, J. W. M. School of Electrical and Electronic Engineering IEEE International Magnetics Conference (2000 : Toronto, Canada) DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation The MR heads induced nonlinear effects include asymmetry and saturation. Superposition model with nonlinear transfer function are used to describe the magnetic recording channel with MR induced non-linearity 11-31, In which the transfer function is modeled by either a set of data based on measurement or some polynomial. In this paper,a systematic asymmetry easurement method using a novel single neuron model is proposed. The nonlinear function used in this paper clearly separate the two nonlinear effects into a bias parameter and a saturation parameter. Both parameters can he obtained from written data and read back waveform. Published version 2009-06-22T01:56:55Z 2019-12-06T20:47:07Z 2009-06-22T01:56:55Z 2019-12-06T20:47:07Z 2000 2000 Conference Paper Lin, M. Y., Foo, S. W., Ye, W., Mathew, G., & Bergmans, J. W. M. (2000). Measurement of MR induced nonlinearities using a novel single neuron model. IEEE International Magnetics Conference, (pp. 103-103) Singapore. https://hdl.handle.net/10356/101945 http://hdl.handle.net/10220/4633 10.1109/INTMAG.2000.871882 en © IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. http://www.ieee.org/portal/site 1 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
Foo, Say Wei
Ye, Weichun
Lin, Maria Yu
Mathew, George
Bergmans, J. W. M.
Measurement of MR induced nonlinearities using a novel single neuron model
description The MR heads induced nonlinear effects include asymmetry and saturation. Superposition model with nonlinear transfer function are used to describe the magnetic recording channel with MR induced non-linearity 11-31, In which the transfer function is modeled by either a set of data based on measurement or some polynomial. In this paper,a systematic asymmetry easurement method using a novel single neuron model is proposed. The nonlinear function used in this paper clearly separate the two nonlinear effects into a bias parameter and a saturation parameter. Both parameters can he obtained from written data and read back waveform.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Foo, Say Wei
Ye, Weichun
Lin, Maria Yu
Mathew, George
Bergmans, J. W. M.
format Conference or Workshop Item
author Foo, Say Wei
Ye, Weichun
Lin, Maria Yu
Mathew, George
Bergmans, J. W. M.
author_sort Foo, Say Wei
title Measurement of MR induced nonlinearities using a novel single neuron model
title_short Measurement of MR induced nonlinearities using a novel single neuron model
title_full Measurement of MR induced nonlinearities using a novel single neuron model
title_fullStr Measurement of MR induced nonlinearities using a novel single neuron model
title_full_unstemmed Measurement of MR induced nonlinearities using a novel single neuron model
title_sort measurement of mr induced nonlinearities using a novel single neuron model
publishDate 2009
url https://hdl.handle.net/10356/101945
http://hdl.handle.net/10220/4633
_version_ 1681036854942498816