“Wavelets are mathematical functions that cut up data into different frequency components, and then study each component with a resolution matched to its scale. They have advantages over traditional Fourier methods in analyzing physical situations where the signal contains discontinuities and sharp spikes.”
The fractal self-similiarity of the Daubechies mother wavelet.
Copyright
o Amara Graps, 1995-2004
o 1995 by the Institute of Electrical and Electronics Engineers, Inc
The original version of this work appears in IEEE Computational Science and Engineering, Summer 1995, vol. 2, num. 2, published by the IEEE Computer Society

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