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| Presentation | 2020-01-24 13:00 Proposal of Denoising Method Based on Sparseness of NMRS Signals Satoru Kubota (TUS), Kazunori Uruma (Kogakuin), Yuuho Tanaka, Norisato Suga, Toshihiro Furukawa (TUS)  IT2019-74 SIP2019-87 RCS2019-304 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Nuclear magnetic resonance spectroscopy (NMRS) is very useful in basic chemical and physiological research, including the analysis of organic compounds. However, there is a problem that the signal-to-noise ratio (SNR) is low, and it has been practiced to increase the SNR by taking the integrated average of the results of repeated measurements. An effective denoising method is required to improve the efficiency of measurement and to measure samples with large changes over time. In this study, we propose, the denoising method focused on the fact that the wavelength spectrum obtained by Fourier transforming the free induction decay (FID) signal observed by NMRS is sparse, and that it maintains the sparseness even if it is N-order differentiated. In this presentation, we report these simulation results. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Sparse Modeling / NMR / Denoising / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 377, SIP2019-87, pp. 221-225, Jan. 2020. | |
| Paper # | SIP2019-87 | |
| Date of Issue | 2020-01-16 (IT, SIP, RCS) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | IT2019-74 SIP2019-87 RCS2019-304 |
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| Conference Information | |
| Committee | IT SIP RCS |
| Conference Date | 2020-01-23 - 2020-01-24 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hiroshima City Youth Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | SIP |
| Conference Code | 2020-01-IT-SIP-RCS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Proposal of Denoising Method Based on Sparseness of NMRS Signals |
| Sub Title (in English) | |
| Keyword(1) | Sparse Modeling |
| Keyword(2) | NMR |
| Keyword(3) | Denoising |
| Keyword(4) | |
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| 1st Author's Name | Satoru Kubota |
| 1st Author's Affiliation | Tokyo University of Science (TUS) |
| 2nd Author's Name | Kazunori Uruma |
| 2nd Author's Affiliation | Kogakuin University (Kogakuin) |
| 3rd Author's Name | Yuuho Tanaka |
| 3rd Author's Affiliation | Tokyo University of Science (TUS) |
| 4th Author's Name | Norisato Suga |
| 4th Author's Affiliation | Tokyo University of Science (TUS) |
| 5th Author's Name | Toshihiro Furukawa |
| 5th Author's Affiliation | Tokyo University of Science (TUS) |
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| Speaker | Author-1 |
| Date Time | 2020-01-24 13:00:00 |
| Presentation Time | 25 minutes |
| Registration for | SIP |
| Paper # | IT2019-74, SIP2019-87, RCS2019-304 |
| Volume (vol) | vol.119 |
| Number (no) | no.376(IT), no.377(SIP), no.378(RCS) |
| Page | pp.221-225 |
| #Pages | 5 |
| Date of Issue | 2020-01-16 (IT, SIP, RCS) |
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