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 |