A new method for compression-rebuilding of IR spectra

This work presents a new spectral data compression-rebuilding technique to translate the full IR spectral data into compact codes based on the analysi s and comprehension encoding approach. This method has been successfully ap plied to a sample set of 505 IR spectra randomly picked from 100 000 spectr a. The results show that the compression ratio reaches 12:7:1 under a very weak curve distortion. The choice of the number and shape of the basis func tions is flexible. The IR spectra can be compressed in a fixed data size in fulfilling the distortion criteria. The data after compression have no sig nificance in the sense of IR spectra. To recover the original spectra, a sp ecific algorithm must be applied. So the method can be used as a cryptic to ol. Furthermore, the method can be applied to the compression of other comp lex curve by utilizing some of proper basis functions.