Abstract—Adaptive filters are widely being applied in various fields, including Noise Cancellation, Line Enhancement and System Identification. The most common implementation of Adaptive filters utilizes the time-domain and transform-domain based adaptive filters employing various algorithms to adjust filter coefficients. In this paper, the real time Demonstration of adaptive algorithms has been synthesized within Matlab and a Graphical User Interface (GUI) was developed to the end user with different applications. Also, Least Mean Square, Leaky Least Mean Square, Normalized Least Mean Square, Recursive Least Square, Sign-Error and Sign-Sign adaptive algorithms have been studied and applied. The results have been presented for some cases for specific simulation length and applications

Index Terms—Adaptive Noise Canceller, Adaptive Filter, System Identification, Channel Simulator.

T Sreekanth Rao, Graduate Student is with the Department of Signal Processing, School of Engineering, Blekinge Institute of Technology, SE- 371 79, Karlskrona, Sweden (e-mail: rao.sreekanth.sp@gmail.com).
B Prathyusha, Graduate Student is with Department of ECE, Malla Reddy College of Engineering & Technology, Hyderabad,Andhra Pradesh,India -500014 (e-mail: prathyusha.signalprocessing@gmail.com).
P Nagarjuna Reddy is with Department of EEE, Kakatiya Institute of Technology and Science, Warangal 506015, India(e-mail: nagarjunreddyp@gmail.vom)
Prof (Mrs.) K Raja Rajeswari is with the Department of ECE, Andhra University College of Engineering, Visakhapatnam, India 530003(e-mail: krrauv@yahoo.com).

Cite: T. Sreekanth Rao, B. Prathyusha, P. Nagarjuna Reddy, and K. Raja Rajeswari, "The Applications and Simulation of Adaptive Algorithms in MATLAB," International Journal of Computer and Communication Engineering vol. 1, no. 3, pp. 227-232 , 2012.