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	DFT Feature Analysis of Corn Varieties Based on Near Infrared Spectra 期刊论文 OAI收割 spectroscopy and spectral analysis, 2011, 卷号: 31, 期号: 1, 页码: 119-122 Li YP; Li WJ; Lai JL 收藏 \| 浏览/下载：65/1 \| 提交时间：2011/07/06 Near infrared spectra (NIRS) Corn seed Discrete fourier Transform (DFT) Difference degree Character analyse SPECTROSCOPY CALIBRATION MODEL
	Dft feature analysis of corn varieties based on near infrared spectra 期刊论文 iSwitch采集 Spectroscopy and spectral analysis, 2011, 卷号: 31, 期号: 1, 页码: 119-122 作者: Li Yang-peng; Li Wei-jun; Lai Jiang-liang 收藏 \| 浏览/下载：39/0 \| 提交时间：2019/05/12 Near infrared spectra (nirs) Corn seed Discrete fourier transform (dft) Difference degree Character analyse
	Qualitative determination of the components of textile products using near infrared spectroscopy (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photonics and Optoelectronics, SOPO 2010, June 19, 2010 - June 21, 2010, Chengdu, China 作者: Chen X.; Chen X.; Chen X.; Wang D. 收藏 \| 浏览/下载：32/0 \| 提交时间：2013/03/25 In the paper A total of 40 pure or two-mixed textile weaves were prepared and classification of these samples was introduced using near infrared spectroscopy (NIRS) all textile samples are selected among four classes which are Cotton-Terylene Cotton-Polyurethane Cotton and Terylene according to theirs components. Near infrared diffuse reflectance spectra of the samples were collected Mahalanobis distance was used to discriminate the samples coupled with principle components analysis (PCA) the results showed that near infrared spectroscopy could determine which class one textile weave belongs to easily comparing with traditional methods. In addition the expectation of the further research on qualitative determination of textile products by NIR technology was discussed in the end of this paper. 2010 IEEE.