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.
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