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 ...

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 ...

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