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| 一维核磁共振谱数据的小波变换压缩 | |
| 引用本文： | 邵学,广顾华,蔡文生,潘忠孝. 一维核磁共振谱数据的小波变换压缩[J]. 光谱学与光谱分析, 1999, 19(2): 139-141 |
| 作者姓名： | 邵学 广顾华 蔡文生 潘忠孝 |
| 作者单位： | 1. 中国科技大学 2. 中国科学技术大学化学系,应用化学系,230026,合肥 |
| 摘 要： | 本成功地将小波变换的多尺寸信号分解（ＭＲＳＤ）方法用于一维核磁共振（ＮＭＲ）信号的数据压缩。将一幅由３２７６８个数据点构成的ＮＭＲ谱图压缩至５１２个数据点，仍能在均方差很小（２．７７６９×１０＾－４）的情况下很好地重建原始谱图。 |
| 关 键 词： | 数据压缩 小波变换 核磁共振谱 |
Studies on Data Compression of 1-D NMR Spectra Using Wavelet Transform |
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| Xueguang SHAO,Hua GU,Wensheng CAI,Zhongxiao PAN. Studies on Data Compression of 1-D NMR Spectra Using Wavelet Transform[J]. Spectroscopy and Spectral Analysis, 1999, 19(2): 139-141 | |
| Authors: | Xueguang SHAO Hua GU Wensheng CAI Zhongxiao PAN |
| Affiliation: | Department of Chemistry, University of Science and Technology of China, 230026 Hefei. |
| Abstract: | The multiresolution signal decomposition (MRSD) algorithm based on wavelet transform was applied to the compression of 1-D NMR spectra. A NMR spectrum which was composed of 32768 data points was investigated and the spectrum can be completely reconstructed with the residual square deviation (RSD) being as small as 2.7769 x 10(-4) when the spectrum was compressed to 512 data points. The relationship among the RSD and the different wavelet function, number of decomposiion and the compression ratio was also discussed. |
| Keywords: | Data compression Wavelet transform NMR spectra |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |