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

Forfattere

  • Meenal singh student at MITS gwalior M.P
  • Thakare V. V.

Resumé

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)

Forfatterbiografi

  • Meenal singh, student at MITS gwalior M.P
    STUDENT AT MITS GWALIOR MP INDIA

Downloads

Publiceret

2014-09-18

Nummer

Årg. 5 Nr. 2 (2014)

Sektion

Research Articles

Licens

Declaration and Copyright Transfer Form

(to be completed by authors)

I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

·         I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.

·         I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).

·         I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.

·          I/We also agree to the authorship of the article in the following order:

Author’s name                                    

 

1. ________________

2. ________________

3. ________________

_______________

We  Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal.