FIR Filter Design using Artificial Neural Network

Authors

  • Navneet Gupta
  • Ravindra Pratap Narwaria

DOI:

https://doi.org/10.37591/rrjon.v3i3.953

Abstract

In this paper design a low pass FIR filter by artificial neural network. For this kind of application, a different type of model is used in ANN. In this work, MLP Back propagation algorithm is used to train the Neural Network. MLP network is very effective method for filter designing process. We also compare the result of this method and the normal mathematical method.

 

Keywords: Neural network, MLP back propagation, fda tool, nntool

Published

2019-03-26

Issue

Section

Research Article