کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7643166 | 1494881 | 2014 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Search prefilters for library matching of infrared spectra in the PDQ database using the autocorrelation transformation
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Search prefilters for library matching of infrared spectra in the PDQ database using the autocorrelation transformation Search prefilters for library matching of infrared spectra in the PDQ database using the autocorrelation transformation](/preview/png/7643166.png)
چکیده انگلیسی
The feasibility of using the autocorrelation transformation in combination with pattern recognition methods to develop search prefilters to facilitate infrared spectral library searching of the PDQ database has been investigated. The use of the autocorrelation transformation addresses many problems encountered when transferring classification models between spectrometers. The autocorrelation transformation is also sensitive at distinguishing subtle but significant features in spectral data such as minor peaks, shoulders, and peaks with unique shapes. Previous workers have shown that peak shifts and related spectral alignment problems can be obviated by using the autocorrelation transformation. The autocorrelation transformation produces a histogram for each IR spectrum, which can be a more useful representation of spectra for pattern recognition involving data collected on different spectrometers. Instead of directly sampling points from the histograms using classification techniques such as SIMCA to identify the informative region, each histogram was first deconvolved to better capture the signal using Coiflet wavelets with the informative wavelet coefficients identified using a genetic algorithm for pattern recognition and feature selection.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Microchemical Journal - Volume 113, March 2014, Pages 30-35
Journal: Microchemical Journal - Volume 113, March 2014, Pages 30-35
نویسندگان
Barry K. Lavine, Ayuba Fasasi, Nikhil Mirjankar, Collin White, Jay Mehta,