PERBANDINGAN KINERJA ALGORITMA LMS DAN NLMS UNTUK PEREDAMAN DERAU SECARA ADAPTIF

Arif, Sulamul and Ngatelan, Ngatelan and Hidayatno, Achmad (2011) PERBANDINGAN KINERJA ALGORITMA LMS DAN NLMS UNTUK PEREDAMAN DERAU SECARA ADAPTIF. Undergraduate thesis, University Diponegoro.

[img]
Preview
PDF - Published Version
591Kb

Abstract

We often feel disturbed by noise caused by our surrounding environment when we are in communication. An example of the noise is very loud vehicle sound in highway that interfere our communication. We may lose our stated information if the noise is not cancelled. This noise problem could be solved by adaptive filter. In noise cancelling, filter parameters are set to optimize information signal so it will be freed from noise. In this final project, performances of two algorithms were compared, namely Least Mean Square (LMS) and Normalized Least Mean Square (NLMS). Both algorithms will be used to renew adaptive filter coefficient for noise cancelling. Two performance parameters that were used are Mean Square Error (MSE) and correlation coefficient. Error quadratic curves were graphed to explain the adaptation process of both algorithms. Test results show that filter reaches optimal condition at certain step size and filter length. Filtering with NLMS algorithm is better than LMS algorithm at same step size and filter length. It is proved by lower MSE value, higher correlation coefficient and faster adaptation process than filtering with LMS algorithm.

Item Type:Thesis (Undergraduate)
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Faculty of Engineering > Department of Electrical Engineering
Faculty of Engineering > Department of Electrical Engineering
ID Code:25257
Deposited By:Mr. Sudjadi Pranoto
Deposited On:10 Jan 2011 11:39
Last Modified:10 Jan 2011 11:39

Repository Staff Only: item control page