Abstract.
The use of wavelets for the solution of convolution equations is studied as a possible alternative to the well-established Fast Fourier Transform (FFT) technique. Two possible solution strategies are investigated: (1) The use of wavelets for the representation of both the given data and the unknown solution. This leads to an algorithm with good de-noising and data-compression properties. In terms of computational efficiency this algorithm is inferior to FFT. (2) The use of wavelets for the representation of the unknown solution and of so-called vaguelettes for the representations of the given data. This leads to an algorithm which is even faster than FFT.
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Received: 14 October 1998 / Accepted: 30 November 1999
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Gilbert, A., Keller, W. Deconvolution with wavelets and vaguelettes. Journal of Geodesy 74, 306–320 (2000). https://doi.org/10.1007/s001900050288
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DOI: https://doi.org/10.1007/s001900050288