Application of the distributed and parallel computation in spectroscopy signal processing
The distributed and parallel computation was introduced to spectroscopy signal processing. The reflection spectra of 4 different varieties of sugar including sucrose, xylitol, maltose and dextrose were measured with FI/IR-4100 Fourier infrared spectral equipment. Each type of sugar consisted of 39 s...
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| Vydané v: | Guang pu xue yu guang pu fen xi Ročník 29; číslo 4; s. 1074 |
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| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | Chinese |
| Vydavateľské údaje: |
China
01.04.2009
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| Predmet: | |
| ISSN: | 1000-0593 |
| On-line prístup: | Zistit podrobnosti o prístupe |
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| Shrnutí: | The distributed and parallel computation was introduced to spectroscopy signal processing. The reflection spectra of 4 different varieties of sugar including sucrose, xylitol, maltose and dextrose were measured with FI/IR-4100 Fourier infrared spectral equipment. Each type of sugar consisted of 39 samples. The distributed and parallel algorithm was executed on 2 computers with the same hardware and software systems. First, the distributed and parallel algorithm was used to read original spectral data from the text files generated by FT/IR-4100 device. Second, the data were preprocessed by distributed and parallel algorithm. The preprocessing methods include standard normalization to the maximum peak, Savizky-Golay smoothing denoising, etc. Third, search for the key discriminative wave numbers in mass spectrometry data was performed by distributed and parallel genetic algorithm (GA). At the end, the discriminative features of 24 wave numbers extracted by GA were applied as BP neural network inputs and a 3-laye |
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| Bibliografia: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| ISSN: | 1000-0593 |
| DOI: | 10.3964/j.issn.1000-0593(2009)04-1074-04 |