Review on Digital Filter Design Using Artificial Neural Network

Forfattere

  • Suchi Sharma Department of Electronics & Communication Engineering, Rustamji Institute of Technology (RJIT) Tekanpur, Madhya Pradesh, India
  • Anjana Goen Department of Electronics & Communication Engineering, Rustamji Institute of Technology (RJIT) Tekanpur, Madhya Pradesh, India

Nøgleord:

Filter, window techniques, artificial neural network

Resumé

This paper provide a survey report on designing Digital FIR filters with the help of Artificial neural network proposed by many researchers who gives a better results and easy way to design a filter. It includes types of filters, window techniques, artificial neural network, comparative analysis of various existing work. This paper gives a better way to analyze various techniques used to design FIR filters. This survey report provides the performance analysis of many researchers work.Cite this Article Suchi Sharma, Anjana Goen. Review on Digital Filter Design Using Artificial Neural Network. Journal of Communication Engineering & Systems. 2016; 6(2): 9–15p.  

Downloads

Publiceret

2016-07-25

Nummer

Årg. 6 Nr. 2 (2016)

Sektion

Review Articles

Licens

Declaration and Copyright Transfer Form

(to be completed by authors)

I/ We, the undersigned author(s) of the manuscript entitled ‘______________’, hereby declare, that the above manuscript which is submitted for publication in the Journal, 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 have read the final 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. We also agree to the authorship of the article in the following order:

Author’s name                                     Signature (s)

 

1. ________________

2. ________________

3. ________________

4. ________________