Pre-Processing Design for Multiwavelet Filters Using Neural Networks

نویسندگان

  • Ryuichi Ashino
  • Akira Morimoto
چکیده

A pre-processing design using neural networks is proposed for multiwavelet filters. Various numerical experiments are presented and a comparison is given between neural network pre-processing and a preprocessing for solving linear systems. Neural network pre-processing produces a good approximation for a large number of terms and converges repidly. In memoriam Michihiro Nagase To appear in J. of Wavelets, Multiresolution and Information Processing.

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تاریخ انتشار 2003