Table 3 the parameters of different algorithm under simulated channel

LMS

0.005

LMP

0.005

SVS-LMP

\(\theta \left[ {\frac{1}{{1 + \exp \left( { - \alpha \left| {e\left( n \right)} \right|} \right)}} - 0.5} \right]\)

IHTVS-LMP

\(\theta \times {\text{ar}}\tan {\text{ch}}\left( {\alpha \times \left| {e\left( n \right)} \right|^{\beta } } \right)\)

0.1

NDCS-LMP

\(\theta \left[ {1 - \exp \left( { - \alpha \left| {e\left( n \right)} \right|^{\beta } } \right)} \right]\)

2

VSS-LMP

\(\mu = \theta \mu (e(n - 1)) + (1 - \theta )\alpha \left| {e(n)} \right|^{2} \exp \left( { - \beta \left| {e(n)} \right|^{2} } \right)\)

0.004

IVSS-LMP

\(\begin{aligned} f & = k_{{{\text{ap}}}} \times \sqrt {\sum\limits_{i = n - k + 1}^{n} {\left| {e\left( i \right)} \right|^{2} } } \\ \mu & = \theta \mu f_{e} \left( {n - 1} \right) + (1 - \theta )\alpha f_{e} \left( n \right)\exp \left( { - \beta f_{e} \left( n \right)} \right) \\ \end{aligned}\)

0.004