• Ramesh Yadav
• Mr. Deepak Sharma

Interference is the major problem in wireless communication. And suppression of interference or noise of a noisy signal is not an easy task when the frequency varies and having Gaussian noise. Frequently used filter like BPF, LPF has taken to de-noise, i.e. useful for the fix bandwidth, but if bandwidth is not fixed and it varies with respect to time, then it requires advance filter that can able to adjust the bandwidth of the desired signal like an adaptive filter which update its weight vector automatically and adjust the bandwidth of the desired signal. This paper analyzes the performance of LMS & Normalized LMS adaptive filter in the basis of taking output parameters like RMS value, Mean and Median of the de-noising signal. This paper also gives the brief detail of the adaptive filter.

RMS value, Mean, Median & Adaptive Filter

"Performance Analysis of LMS and Normalized LMS Adaptive Filter Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.1, Issue 3, page no.225-231, August-2014, Available :http://www.jetir.org/papers/JETIR1403010.pdf

"Performance Analysis of LMS and Normalized LMS Adaptive Filter Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.1, Issue 3, page no. pp225-231, August-2014, Available at : http://www.jetir.org/papers/JETIR1403010.pdf