Presentation | 2020-01-24 Proposal of Denoising Method Based on Sparseness of NMRS Signals Satoru Kubota, Kazunori Uruma, Yuuho Tanaka, Norisato Suga, Toshihiro Furukawa, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(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) |
Keyword(in English) | Sparse Modeling / NMR / Denoising |
Paper # | IT2019-74,SIP2019-87,RCS2019-304 |
Date of Issue | 2020-01-16 (IT, SIP, RCS) |
Conference Information | |
Committee | IT / SIP / RCS |
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Conference Date | 2020/1/23(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Hiroshima City Youth Center |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Jun Muramatsu(NTT) / Naoyuki Aikawa(TUS) / Tomoaki Otsuki(Keio Univ.) |
Vice Chair | Tadashi Wadayama(Nagoya Inst. of Tech.) / Kazunori Hayashi(Osaka City Univ) / Yukihiro Bandou(NTT) / Satoshi Suyama(NTT DoCoMo) / Fumiaki Maehara(Waseda Univ.) / Toshihiko Nishimura(Hokkaido Univ.) |
Secretary | Tadashi Wadayama(Saga Univ.) / Kazunori Hayashi(Nagano Pref Inst. of Tech.) / Yukihiro Bandou(Hiroshima Univ.) / Satoshi Suyama(Hosei Univ.) / Fumiaki Maehara(NTT) / Toshihiko Nishimura(Kyushu Univ.) |
Assistant | Hideki Yagi(UEC) / Kenjiro Sugimoto(Waseda Univ.) / Kazushi Muraoka(NEC) / Shinsuke Ibi(Doshisha Univ.) / Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Manabu Sakai(Mitsubishi Electric) |
Paper Information | |
Registration To | Technical Committee on Information Theory / Technical Committee on Signal Processing / Technical Committee on Radio Communication Systems |
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Language | JPN |
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 |
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) |
Date | 2020-01-24 |
Paper # | IT2019-74,SIP2019-87,RCS2019-304 |
Volume (vol) | vol.119 |
Number (no) | IT-376,SIP-377,RCS-378 |
Page | pp.pp.221-225(IT), pp.221-225(SIP), pp.221-225(RCS), |
#Pages | 5 |
Date of Issue | 2020-01-16 (IT, SIP, RCS) |