We present a method of data reduction using a wavelet transform in discriminant analysis when the number of variables is much greater than the number of observations. The method is illustrated with a ...

Built upon the ubiquitous Fourier transform, the mathematical tools known as wavelets allow unprecedented analysis and understanding of continuous signals.

Journal of Vegetation Science, Vol. 9, No. 6 (Dec., 1998), pp. 805-814 (10 pages) We investigate the characteristics of the wavelet transform as an approach to analyzing spatial pattern. Compared to ...