Abstract
This paper introduces a new wavelet frames-based functional estimation method (i.e. a wavelet-based neural network which works for more than one dimension functions. The use of frames and wavelets in our approach yields to robust decomposition with an interesting parsimonious property: compression of information in few coefficients. This approach is illustrated using the problem of estimating radioactivity in Chernobyl area.
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© 1997 Springer-Verlag Berlin Heidelberg
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Soltani, S., Canu, S., Boichu, D., Grandvalet, Y. (1997). Wavelet frames based estimator. In: Gerstner, W., Germond, A., Hasler, M., Nicoud, JD. (eds) Artificial Neural Networks — ICANN'97. ICANN 1997. Lecture Notes in Computer Science, vol 1327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020174
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DOI: https://doi.org/10.1007/BFb0020174
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