Application of wavelet transform in infrared spectrometry: spectral compression and library search

✍ Scribed by Alexander Kai-man Leung; Foo-tim Chau; Jun-bin Gao; Tsi-min Shih

• Book ID: 104309619
• Publisher: Elsevier Science
• Year: 1998
• Tongue: English
• Weight: 539 KB
• Volume: 43
• Category: Article
• ISSN: 0169-7439
• DOI: 10.1016/s0169-7439(98)00084-7

✦ Synopsis

In recent years, a new mathematical technique called wavelet transform WT has been developed and adopted for signal processing in analytical chemistry owing to its efficiency, more number of basis functions available, and higher speed in data Ž . Ž . treatment compared to fast Fourier transform FFT . In this paper, the fast wavelet transform FWT and its derivative, wavelet Ž . Ž . packet transform WPT , were applied to compress infrared IR spectrum for storage and spectral searching. In WT treatment, the number of data to be processed has to be 2 P with P being any integer. In this work, we proposed the coefficient Ž . position retaining CPR method to handle data with length of odd number. The performance of the two proposed WT methods in data compression and spectral library searching are compared with that of the FFT method. The results indicated that our proposed WT methods works better than FFT in compression of IR spectra and spectral library searching.