Stochastic analysis of the least mean fourth algorithm for non-stationary white Gaussian inputs

Abstract

This paper studies the stochastic behavior of the least mean fourth (LMF) algorithm for a system identification framework when the input signal is a non-stationary white Gaussian process. The unknown system is modeled by the standard random-walk model. A theory is developed which is based upon the instantaneous average power and the instantaneous average… (More)
DOI: 10.1007/s11760-013-0519-1

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