Wavelets

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Time-frequency methods and phase space are well known to most physicists, engineers, and mathematicians, as is traditional Fourier analysis. Recently, the latter has found a competitor in the concept of wavelets. Crudely speaking, a wavelet decomposition is an expansion of an arbitrary function into smooth localized contributions labeled by a scale and a position parameter. This meeting brought together people exploring and applying these concepts in an interdisciplinary framework. The topics discussed range from purely mathematical aspects to signal analysis, seismic and acoustic applications, animal sonar systems, and wavelets in computer vision.