PRE-PROCESSING DESIGN FOR MULTIWAVELET FILTERS USING NEURAL NETWORKS

摘要

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 pre-processing for solving linear systems. Neural network pre-processing produces a good approximation for a large number of terms and converges rapidly.