Open AccessComparison and Performance Evaluation of Low Pass Filter Design for various samples using Artificial Neural Network
Author(s) -
Sumita Sharma,
Anjana Goen
Publication year - 2016
Publication title -
international journal of electrical and electronics research
Language(s) - English
Resource type - Journals
ISSN - 2347-470X
DOI - 10.37391/ijeer.040303
Subject(s) - window (computing) , artificial neural network , computer science , filter (signal processing) , window function , backpropagation , artificial intelligence , algorithm , computer vision , operating system
To design any type of filters complex calculation is needed. But with the help of window method, it become simple. In this paper a Low pass filter is designed by window method with the help of Artificial Neural Network. Here, Hann window and Blackman window is used to design filter and Feed Forward Back Propagation algorithm has been taken for neural network. In this paper different data sets for cut off frequency are consider for training and testing purpose to get best results.