Course Project Repository of Adaptive Line Enhacement
Dittakavi V Adithya (adithya.d18@iiits.in)
Bezawada Vishnu Vamsi (vishnuvamsi.b18@iiits.in)
Manohar Sai Alapati (manoharsai.a18@iiits.in)
One of the most important and complex techniques on elements of signal processing has been the noise suppression. Noise is a very basic, of whose frequency response cannot be known all the time. Considering the motivation of trying to suppress the noise component, a focus on filters and ADAPTIVENESS has been put to extract a narrow band signal masked with wide band noise. This work includes a comparative analysis on different FIR adaptive filter algorithms, with addition to an implementation on test audio signal. The results quite provided the difference in between LMS, RLS, NLMS and APAs.
The implementation of this system is a part of course project (Digital Signal Processing)
Reference for more information on problem description: Digital Signal Processing Using MATLAB, 3rd Edition by Vinay K. Ingle, John G. Proakis