ABSTRACT Journal of Information & Communication Technology Vol. 9, No. 2, (Fall 2015) 42-54 * The material presented by the author does not necessarily portray the viewpoint of the editors and the management of the Institute of Business & Technology (IBT) © IBT-JICT is published by the Institute of Business and Technology (IBT). Main Ibrahim Hydri Road, Korangi Creek, Karachi-75190, Pakistan. REAL TIME ADAPTIVE FILTER IMPLEMENTATION FOR SYSTEM IDENTIFICATION AND NOISE ELIMINATION Filters are the most important instrument that play a vital role in signal processing application such as audio equalizers, image processing etc. So in our proposed algorithm, we have utilized an adaptive filter for system identification and noise elimination. Identification of the system is necessary for the filter implementation; this is accomplished using Least Men Square (LMS). Noise is a feature that varies continuously if the device is used remotely, so we require an adaptation technique to cater any kind of noise that can affect our system and negate the effects of that noise for providing a better signal quality. Mean Squared Error is reduced at a certain interval of time as it adapts to the original signal. Our proposed algorithm performed according to the desired expectations and can be implemented in numerous audio applications. 1 Ali Akbar Siddiqui : ali124k@hotmail.com 2 S Hassan Ahmed : shahmed@ssuet.edu.pk 3 Habib Shaukat : habbib_shaukat@hotmail.com 4 M. Shafiq : ssuet.shafiq@hotmail.com 5 Dr. M. Tahir Qadri : mtahirq@hotmail.com Ali Akbar Siddiqui 1 and S Hassan Ahmed 2 Department of Telecommunication Engineering at Sir Syed University of Engineering & Technology Habib Shaukat 3 , M. Shafiq 4 and Dr. M. Tahir Qadri 5 Department of Electronic Engineering at Sir Syed University of Engineering & Technology Key Words: Adaptive Filter, Least Mean Algorithm (LMS), IIR Chebyshev Filter. INSPEC Classification : A9555L, A9630, B5270