Wavelet Transform-Based Signal Denoising in Low-Field NMR
Low-field NMR often uses permanent magnet. The signals obtained contain high level of white Gaussian noises, and have low signal-to-noise ratio (SNR). In recent years, many denoising methods have been proposed for low-field NMR measurements. Most of these methods can remove noises without losing use...
| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
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Science Press
2018-09-01
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| Series: | Chinese Journal of Magnetic Resonance |
| Subjects: | |
| Online Access: | http://121.43.60.238/bpxzz/EN/10.11938/cjmr20182615# |
| _version_ | 1818150370165129216 |
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| author | CHANG Xiao SU Guan-qun NIE Sheng-dong |
| author_facet | CHANG Xiao SU Guan-qun NIE Sheng-dong |
| author_sort | CHANG Xiao |
| collection | DOAJ |
| description | Low-field NMR often uses permanent magnet. The signals obtained contain high level of white Gaussian noises, and have low signal-to-noise ratio (SNR). In recent years, many denoising methods have been proposed for low-field NMR measurements. Most of these methods can remove noises without losing useful information contained in the original signals. Wavelet transform is the most popular denoising method among them. In this paper, we first introduced the theory of wavelet transform analysis, followed by review of three wavelet transform denoising methods for low-field NMR, namely the wavelet threshold method, the wavelet transform modulus maximum method and the correlation of wavelet coefficient method. Finally, we showed that four parameters could be calculated to evaluate the denoising performance. |
| first_indexed | 2024-12-11T13:21:51Z |
| format | Article |
| id | doaj.art-a39808b7f22b466da706e0496a0acc99 |
| institution | Directory Open Access Journal |
| issn | 1000-4556 1000-4556 |
| language | zho |
| last_indexed | 2024-12-11T13:21:51Z |
| publishDate | 2018-09-01 |
| publisher | Science Press |
| record_format | Article |
| series | Chinese Journal of Magnetic Resonance |
| spelling | doaj.art-a39808b7f22b466da706e0496a0acc992022-12-22T01:05:47ZzhoScience PressChinese Journal of Magnetic Resonance1000-45561000-45562018-09-0135339340610.11938/cjmr20182615Wavelet Transform-Based Signal Denoising in Low-Field NMRCHANG Xiao0SU Guan-qun1NIE Sheng-dong 2Institute of Medical Imaging Engineering, University of Shanghai for Science and Technology, Shanghai 200093, ChinaInstitute of Medical Imaging Engineering, University of Shanghai for Science and Technology, Shanghai 200093, ChinaInstitute of Medical Imaging Engineering, University of Shanghai for Science and Technology, Shanghai 200093, ChinaLow-field NMR often uses permanent magnet. The signals obtained contain high level of white Gaussian noises, and have low signal-to-noise ratio (SNR). In recent years, many denoising methods have been proposed for low-field NMR measurements. Most of these methods can remove noises without losing useful information contained in the original signals. Wavelet transform is the most popular denoising method among them. In this paper, we first introduced the theory of wavelet transform analysis, followed by review of three wavelet transform denoising methods for low-field NMR, namely the wavelet threshold method, the wavelet transform modulus maximum method and the correlation of wavelet coefficient method. Finally, we showed that four parameters could be calculated to evaluate the denoising performance.http://121.43.60.238/bpxzz/EN/10.11938/cjmr20182615#low-field NMRsignal denoisingwavelet transformwavelet threshold methodwavelet transform modulusmaximum methodcorrelation of wavelet coefficient method |
| spellingShingle | CHANG Xiao SU Guan-qun NIE Sheng-dong Wavelet Transform-Based Signal Denoising in Low-Field NMR Chinese Journal of Magnetic Resonance low-field NMR signal denoising wavelet transform wavelet threshold method wavelet transform modulus maximum method correlation of wavelet coefficient method |
| title | Wavelet Transform-Based Signal Denoising in Low-Field NMR |
| title_full | Wavelet Transform-Based Signal Denoising in Low-Field NMR |
| title_fullStr | Wavelet Transform-Based Signal Denoising in Low-Field NMR |
| title_full_unstemmed | Wavelet Transform-Based Signal Denoising in Low-Field NMR |
| title_short | Wavelet Transform-Based Signal Denoising in Low-Field NMR |
| title_sort | wavelet transform based signal denoising in low field nmr |
| topic | low-field NMR signal denoising wavelet transform wavelet threshold method wavelet transform modulus maximum method correlation of wavelet coefficient method |
| url | http://121.43.60.238/bpxzz/EN/10.11938/cjmr20182615# |
| work_keys_str_mv | AT changxiao wavelettransformbasedsignaldenoisinginlowfieldnmr AT suguanqun wavelettransformbasedsignaldenoisinginlowfieldnmr AT nieshengdong wavelettransformbasedsignaldenoisinginlowfieldnmr |