A Comparison of Fourier and Wavelet Transforms in the Processing of near Infrared Spectroscopic Data: Part 1. Data Compression
| Autor: | Tom Fearn, Anthony M. C. Davies |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
Discrete wavelet transform
medicine.medical_specialty business.industry 010401 analytical chemistry Wavelet transform 04 agricultural and veterinary sciences 040401 food science 01 natural sciences 0104 chemical sciences Wavelet packet decomposition Spectral imaging Computational physics symbols.namesake 0404 agricultural biotechnology Fourier transform Wavelet symbols medicine Computer vision Artificial intelligence Harmonic wavelet transform business Spectroscopy Continuous wavelet transform Mathematics |
| Zdroj: | Journal of Near Infrared Spectroscopy. 11:3-15 |
| ISSN: | 1751-6552 0967-0335 |
| DOI: | 10.1255/jnirs.349 |
| Popis: | The advent of spectral imaging and recent trends towards the compilation of large spectral databases have caused renewed interest in the compression of near infrared spectra for purposes of storage. A comparison of approaches using Fourier and wavelet transforms shows that wavelets are generally, though not always, more efficient than Fourier at compressing near infrared spectra. The Daubechies extremal phase wavelet of order 4 is a good choice for this purpose. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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