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Adding Our Own Module in ANFIS

Author(s):

Ishu jain , NCCE, Israna; Ranjeeta Kaushik, NCCE, Israna

Keywords:

Filtering, ANFIS, Noise Cancellation, Gaussian Noise

Abstract

In present-daystate of modern technology, we are facing a requirement of noise removal in signal processing. Various tactics are used for the same. This paper defines a smart adaptive filtering for noise cancellation. Here ANFIS method is being intended for removal of noise from audio speech signals. An audio signal tainted with noise is taken and scrutinized with eight types of membership functions: bell MF, triangle MF, Gaussian MF, two -sided MF, pi-shaped MF, product of two sigmoid MF, difference of two sigmoid MF and trapezoidal MF. Finally using ANFIS, the original audio speech signal is reestablished. The main benefit of this system is its ease of execution and faster convergence rate.

Other Details

Paper ID: IJSRDV3I70186
Published in: Volume : 3, Issue : 7
Publication Date: 01/10/2015
Page(s): 297-302

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