ISSN 22773061 449 | Page May 25,2013 A Variable Step Size for Acoustic Echo Cancellation Using Normalized Sub band Adaptive Filter Harjeet Kaur, Dr.Rajneesh Talwar, Jyoti Darekar Ph.D Student, Punjab Technical University Jalandhar, Punjab, India mail2hkaur@gmail.com Principal, Swift Technical Campus , Rajpura, Punjab, India rtphdguidance@gmail.com Student, Singhad College Of Engg. Vadgaon, Pune jsangogi@rediffmail.com ABSTRACT Numerous various step size normalized least mean square (VSS-NLMS)Algorithms have been derived to solve the problem of fast convergence rate and low mean square error .Here we find out the ways to control the step size. A normalized subband adaptive filter algorithm uses a fixed and variable step size, which is chosen as a trade-off between the steady-state error and the convergence rate. A variable step size for normalized subband adaptive filter is derived by minimizing the mean-square deviation between the optimal weight vector and the estimated weight vector at each instant of time. The variable step size is presented in terms of error variance. Therefore, we verify the different algorithms either they are capable of tracking in stationary and non-stationary environments. The results show good tracking ability and low misalignment of the algorithm in system identification. Parameters are tracking, steady state errors, and misalignment, environment, step size. General Terms Adaptive Algorithms, Variable step size algorithm. Indexing terms Acoustic echo cancellation, adaptive filters, sub band adaptive filter, tracking performance, variable step size. Academic Discipline And Sub-Disciplines Engineering: Electronics & Telecommunication SUBJECT CLASSIFICATION E.g., Signal Processing; Adaptive Signal Processing. TYPE (METHOD/APPROACH) Historical Inquiry; Quasi-Experimental Council for Innovative Research Peer Review Research Publishing System Journal: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY Vol 6, No 3 editor@cirworld.com www.cirworld.com, member.cirworld.com