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Noise Cancellation Using Fuzzy Inference System

Ramanpreet Kaur, Simarpreet Kaur

Noise Cancellation technology is aimed at reducing unwanted ambient noise and can be achieved using two different methods. The first of these is passive noise cancellation which is an approach that focuses on preventing sound waves from reaching the eardrum, and active noise cancellation which uses aural overlap and destructive interference to target and attenuate background noise. While passive and active noise cancellation may be applied separately, they are often combined to attain maximum effectiveness in noise cancellation. In this paper, a noisy signal has been applied as an input to Takagi-Sugeno- Kang (TSK) FIS and a filtered output has been obtained. Using fuzzy rule base and membership functions, if then rules have been created to cancel the noise from noisy signal and surface view has been plotted.