Orthogonal transformations for feature extraction in chemical pattern recognition

A crucial point in pattern recognition methods is the extraction of features to determine the pattern vectors. Orthogonal transformations, e.g., Fourier, Walsh and Haar, are investigated as preprocessing methods for feature extraction. The theoretical considerations and conclusions are compared with computational results obtained by applying different pattern recognition methods to two different but similar collections of low-resolution mass spectra.