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Arbitrary FIR Filter Synthesis Using a Neural Network

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Abstract

We propose a neural network to synthesize an arbitrary FIR filter in a least square sense. The network can evolve to its steady-states or equilibrium points from any initial state in the magnitude of the circuit's time constant. Under the steady-state, the output of the network is just our designed FIR filter coefficient if a real, symmetric, and positive-definite matrix calculated by the design specifications is directly used as the synaptic strength matrix.

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Authors and Affiliations

  1. Department of Electronic Engineering and Information Science, University of Science and Technology of China, P.R. China

    Ying Tan

  2. Department of Radio Engineering, Southeast University, P.R. China

    Zhenya He

Authors
  1. Ying Tan
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  2. Zhenya He
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Tan, Y., He, Z. Arbitrary FIR Filter Synthesis Using a Neural Network. Neural Processing Letters 8, 9–13 (1998). https://doi.org/10.1023/A:1009608911373

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  • DOI: https://doi.org/10.1023/A:1009608911373

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