Noise Cancellation using Adaptive Filter in the signal of Saxophone Musical Instrument

Vol-3 | Issue-08 | August 2018 | Published Online: 07 August 2018    PDF ( 244 KB )
Author(s)
Sudhir Kumar Dubey 1; Prof. Soni Changlani 2; Sanjeev Dubey 3

1Dept of ETE, GWPC Bhopal

2Dept of EC, LNCT University Bhopal

3Dept of ETE, SRGPC Sagar

Abstract

In the paper attempt has been made to reduce the noise present in the signal of the musical instrument called saxophone. For active noise present in the speech signals , many methods are present and got success in reducing the noise. As noise which is introduce from any source will always create trouble and reducing of noise is of most importance and difficult. Simple filters are not able to deal with fast varying noise signals so we have to adopt the other method. In the present work the attempt has been made to cancel the gaussian noise present in the signals of the musical instrument saxophone. Here first we show that adaptive filters may be used for noise cancellation in musical instrument and using Least mean square (LMS) and Normalized Least mean square (NLMS) adaptive algorithm guassian noise are reduced. We get the optimistic result. The work is done with the help of MATLAB software.

Keywords
Adaptive filter, Noise cancellation, Adaptive algorithm, least mean square (LMS) Normalized Least mean square (NLMS), Gaussian noise
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