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Table 1 Detail of variables

From: Robust adaptive algorithm for active control of impulsive noise

Variables

Description

P(z)

Transfer function of the primary path

S(z)

Transfer function of the secondary path

x(n)

Reference impulsive noise

S’(z)

Estimated transfer function of the secondary path

d(n)

Desired signal

x’(n)

Filtered reference noise

\( \hat{r}\left[n\right] \)

Estimated states of the adaptive filter

\( \overline{r}\left[n\right] \)

Predicted states of the adaptive filter

K[n]

Gain of the adaptive filter

ε[n]

Prediction error of the adaptive algorithm

δ

Regularization parameter

λ

Forgetting factor

\( \overline{y}(n) \)

Predicted output of the adaptive filter

y s (n)

Adaptive filter output followed by the secondary path

N

Total samples