Performance Analysis of Distributed Incremental LMS Algorithm in Non-stationary Environment

Performance Analysis of Distributed Incremental LMS Algorithm in Non-stationary Environment

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Part of #Performance Analysis of Distributed Incremental LMS Algorithm in Non-stationary Environment# :

Publishing year : 2013

Conference : Second National Conference on New Ideas in Electrical Engineering

Number of pages : 6

Abstract: In this paper, we analyze the transient and steady-state performance of the distributed incremental least-mean-square (DILMS) algorithm. Theoretical relations which explain how the transitional and steady-state performance of the DILMS algorithm (in terms of mean-square error (MSE)) is affected by non-stationary environment. As the results show, theoretical and simulations are very close together. Simulation results show that the step size versus the error index curves of the non-stationary environment are not linear and have optimal step size to minimize the error