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In this work, we introduce an adaptive variable‐step size normalized least mean squares algorithm to be used in finite impulse response structures. In our proposal, the step size is adjusted according to the cross‐correlation between the squared output error of the adaptive filter and the near‐end input signal. We show that the step increases or decreases as the error increases or decreases. This...