Designing of Low Pass Finite Impulse Response Filter using Radial Basis Function Neural Network

Authors

  • Singh M. Department of Electronics Engineering, Madhav Institute of Technology and Science, RGPV, Bhopal, Gwalior, Madhya Pradesh, India
  • Thakare V. V. Department of Electronics Engineering, Madhav Institute of Technology and Science, RGPV, Bhopal, Gwalior, Madhya Pradesh, India

DOI:

https://doi.org/10.37591/joci.v5i2.2137

Abstract

The present paper investigates an approach to design and analysis of a low pass finite impulse response (FIR) filter using artificial neural network. The main aim of design is to find out the filter coefficients that define the filter transfer functions. A datasheet of 40 different values of h (n), i.e., coefficient of digital low pass FIR filter are used for filter designing. In this paper Radial Basis Function method is used for train artificial neural network. A combination of digital signal processing algorithm and neural network is obtained with the help of MATLAB to produce effective algorithm for digital filter design is used in the present work.

Keywords: Artificial neural network (ANN), digital signal processing (DSP), finite impulse response (FIR)

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Published

2019-04-09

Issue

Vol. 5 No. 2 (2014)

Section

Articles

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