ITE Technical Report
Online ISSN : 2424-1970
Print ISSN : 1342-6893
ISSN-L : 1342-6893
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21.75
Displaying 1-9 of 9 articles from this issue
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  • [title in Japanese]
    Article type: Cover
    Pages Cover1-
    Published: December 11, 1997
    Released on J-STAGE: June 23, 2017
    DOIhttps://doi.org/10.11485/itetr.21.75.0_Cover1
    CONFERENCE PROCEEDINGS FREE ACCESS
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  • [title in Japanese]
    Article type: Index
    Pages Toc1-
    Published: December 11, 1997
    Released on J-STAGE: June 23, 2017
    DOIhttps://doi.org/10.11485/itetr.21.75.0_Toc1
    CONFERENCE PROCEEDINGS FREE ACCESS
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  • Performance Evaluation of PRML Systems in High Density Recording
    Yoshihiro OKAMOTO, Harumitsu MIYASITA, Hidetoshi SAITO, Hisashi OSAWA
    Article type: Article
    Pages 1-8
    Published: December 11, 1997
    Released on J-STAGE: June 23, 2017
    DOIhttps://doi.org/10.11485/itetr.21.75.0_1
    CONFERENCE PROCEEDINGS FREE ACCESS
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    The performance comparison of the various PRML systems for (1,7) RLL code, 8/9(0,4/4) code and 16/17(0,6/6) code is studied. The bit-error rates of PR4ML, EPR4ML, E^2PR4ML, ME^2PR4ML, PR (1,1,1,-1,-1,-1) ML and PR (1,2,1,0,-1,-2,-1) ML systems are obtained by computer simulation. The results show that PR (1,1,1,-1,-1,-1)ML system exhibits the good performance for (1,7) RLL code, and PR (1,2,1,0,-1,-2,-1) ML system offers the excellent performance for 8/9(0,4/4) code and 16/17(0,6/6) code.
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  • A study of performance evaluation system for PRML system
    Yoshihiro OKAMOTO, Kenji KAKIUCHI, Kazuhito ICHIHARA, Hidetoshi SAITO, ...
    Article type: Article
    Pages 9-14
    Published: December 11, 1997
    Released on J-STAGE: June 23, 2017
    DOIhttps://doi.org/10.11485/itetr.21.75.0_9
    CONFERENCE PROCEEDINGS FREE ACCESS
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    We have developed a simulation system to evaluate the performance of various PRML systems. The error rates of PR (1,0,-1) ML, PR (1,1,-1,-1) ML, PR (1,1,0,-1,-1) ML, and PR (1,2,0,-2,-1) ML systems for (1,7) RLL code are obtained by our simulation system, and performances are compared. The results show that PR (1,1,-1,-1) ML system exhibits good performance.
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  • Neural Network Equalization of Nonlinear Distortion in MR Head
    Hisashi OSAWA, Takahiro KAWABATA, Yoshihiro OKAMOTO, Kazuhito ICHIHARA ...
    Article type: Article
    Pages 15-22
    Published: December 11, 1997
    Released on J-STAGE: June 23, 2017
    DOIhttps://doi.org/10.11485/itetr.21.75.0_15
    CONFERENCE PROCEEDINGS FREE ACCESS
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    The neural network equalization for the read/write data using a spin-stand is studied. As a recording code, the (1,7) RLL code is used and the readback waveform influenced by a nonlinear distortion in MR head is equalized to EPR4 characteristic by a three-layered neural network. For the read/write data at a recording density of 165 kFCI, the equalization characteristics and the bit-error rate of the EPR4ML sytem are obtained by computer simulation and are compared with those for a conventional Nyquist equalization. The results show that the neural network equalizer can effectively mitigate the effect of a nonlinear distortion in MR head and provide a significant performance improvement.
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  • Simplification of Neural Network Equalization for PRML Channel with Nonlinear Distortion
    Kohei WAKAMIYA, Hisashi OSAWA, Yoshihiro OKAMOTO, Hidetoshi SAITO, Tos ...
    Article type: Article
    Pages 23-30
    Published: December 11, 1997
    Released on J-STAGE: June 23, 2017
    DOIhttps://doi.org/10.11485/itetr.21.75.0_23
    CONFERENCE PROCEEDINGS FREE ACCESS
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    A simplification of a neural network equalization for a partial response maximum-likelihood (PRML) channel with a partial erasure and a nonlinear distortion in magneto-resistive (MR) head is studied. First, a model of the recording/reproducing channel with nonlinear distortions and the neural network equalizer are described. Then, the bit-error rates are obtained by computer simulation and the performances are compared with those of the conventional transversal filter and more complex neural network equlizer. The results show that the error rate performance of this simplified neural network equalizer is still better than that of the transversal filter.
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  • A Multi-track Coding Method for Use of a Double Layered Perpendicular Recording Medium and an MR Head
    Atsushi Kikawada, Naoki Honda, Kazuhiro Ouchi
    Article type: Article
    Pages 31-38
    Published: December 11, 1997
    Released on J-STAGE: June 23, 2017
    DOIhttps://doi.org/10.11485/itetr.21.75.0_31
    CONFERENCE PROCEEDINGS FREE ACCESS
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    A new multitrack coding scheme was studied aiming at a preferable use in perpendicular recording using a double layered medium and an MR head. Combined code multi-track coding method and multilevel detection method using multi-track have been compared in their performances. As the result, the combined code multi-track coding method has a high code rate and reliability because of the multilevel correlation detection with simultaneous reading by a multi-track head. Then, the coding method would have an advantage in high areal recording density. The influence of clock timing with phase shift between adjacent tracks was also investigated.
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  • A Report on TMRC'97
    Masuo Umemoto
    Article type: Article
    Pages 39-43
    Published: December 11, 1997
    Released on J-STAGE: June 23, 2017
    DOIhttps://doi.org/10.11485/itetr.21.75.0_39
    CONFERENCE PROCEEDINGS FREE ACCESS
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    The circuit designs of EPR4ML channel LSIs were presented in the TMRC'97. Furthermore, several techniques for the next generation of the EPRML were discussed. A candidate is MTR (Maximum Transision Run) trellis coding using with EEPR4 equalization. There were five papers related on MTR coding which offers a code rate of 8/9 and an SNR improvemnet of 1.7dB, comparing with the 16/17+EPR system. From a standpoint of reducing hardware complexity, SSD (Signal Space Detection), M-DFE and Dual-DFE have attracted the attendances.
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  • [title in Japanese]
    Article type: Appendix
    Pages App1-
    Published: December 11, 1997
    Released on J-STAGE: June 23, 2017
    DOIhttps://doi.org/10.11485/itetr.21.75.0_App1
    CONFERENCE PROCEEDINGS FREE ACCESS
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