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Noise Cancellation Using a Novel Self-adaptive Neuro-fuzzy Inference System (SANFIS)

  • Laxmipriya Samal
  • Debashisa SamalEmail author
  • Badrinarayan Sahu
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 109)

Abstract

This article proposes a new method of noise cancellation using self-adaptive neuro-fuzzy inference system (SANFIS). In this method, a mathematical model is suggested between noise source and the equivalent un-measurable interference signal objective of which is to remove the interfering noise component. Many researchers used linear filtering in real-world application for noise cancellation. By using SANFIS methodology, we move forward the concept of adaptive noise cancellation entering into nonlinear area. The performance of SANFIS technique compared with previously proposed LMS and NLMS algorithm.

Keywords

Noise cancellation Noise source LMS NLMS SANFIS 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Laxmipriya Samal
    • 1
  • Debashisa Samal
    • 1
    Email author
  • Badrinarayan Sahu
    • 1
  1. 1.Department of ECEITER, S‘O’A Deemed to be UniversityBhubaneswarIndia

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