Pruned Feed-forward Networks for Efficient Implementation of Multiple FIR Filters with Arbitrary Frequency Responses

Abstract

A new algorithm is presented for efficient implementation of multiple FIR filters in real-time applications. We introduce an analogy between the multiple FIR filters and linear feed-forward networks, and show how the FIR filters with any frequency characteristics may be designed by a learning algorithm of the network with proper choice of training patterns… (More)
DOI: 10.1023/A:1009625700734

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@article{Ahn1998PrunedFN, title={Pruned Feed-forward Networks for Efficient Implementation of Multiple FIR Filters with Arbitrary Frequency Responses}, author={Ki-Hwan Ahn and Yoon-Kyung Choi and Soo-Young Lee}, journal={Neural Processing Letters}, year={1998}, volume={8}, pages={221-227} }