Computer Aided Analysis of Gas Chromatographic Spectra
| dc.contributor.advisor | Kennett, T. J. | |
| dc.contributor.author | Rebane, Eddie | |
| dc.contributor.department | Engineering Physics | en_US |
| dc.date.accessioned | 2016-06-27T19:49:20Z | |
| dc.date.available | 2016-06-27T19:49:20Z | |
| dc.date.issued | 1983-12 | |
| dc.description.abstract | <p> In this thesis, hardware and software was developed whereby the feasability of using pattern recognition techniques for gas chromatography could be quantitively explored. Processing methods were developed to overcome ~he distortion inherent in GC spectra. The reproducibility of peak retention times and areas was investigated from the processed spectra. Upon completion of this study, it was possible to amass a large quantity of experimental data for bacterial strains. With such data the exact form of the pattern recognition algorithm could be defined. A possible pattern recognition method is discussed. </p> | en_US |
| dc.description.degree | Master of Engineering (MEngr) | en_US |
| dc.description.degreetype | Thesis | en_US |
| dc.identifier.uri | http://hdl.handle.net/11375/19661 | |
| dc.language.iso | en | en_US |
| dc.subject | Gas | en_US |
| dc.subject | Chromatographic | en_US |
| dc.subject | spectra | en_US |
| dc.subject | pattern recognition | en_US |
| dc.subject | GC spectra | en_US |
| dc.title | Computer Aided Analysis of Gas Chromatographic Spectra | en_US |