Table 3 Parameters of denoising algorithms.

From: ICEEMDAN–RPE–AITD algorithm for magnetic field signals of magnetic targets

Algorithms

Parameters

ICEEMDAN–RPE–AITD

ICEEMDAN noise amplitude is 0.2, number of realizations is 100, maximum number of iterations is 1000

RFE embedding dimension is 5

RFE delay time is 1

RFE thresholds Lth and Hth are 0.4 and 0.48, respectively

β is 0.719, ρ is 2.01, C is 0.7, α is 5

ICEEMDAN–CMSE–AITD

ICEEMDAN noise amplitude is 0.2, signal averaging count is 100, maximum number of iterations is 1000

β is 0.719, ρ is 2.01, C is 0.7, α is 5

ICEEMDAN–FE–AITD

ICEEMDAN noise amplitude is 0.2, signal averaging count is 100, maximum number of iterations is 1000

FE embedding dimension is 5

FE delay time is 1

FE threshold is 0.1

β is 0.719, ρ is 2.01, C is 0.7, α is 5

ICEEMDAN–PE–WTD

ICEEMDAN noise amplitude is 0.2, signal averaging count is 100, maximum number of iterations is 1000

PE embedding dimension is 5

PE delay time is 1

PE threshold is 0.35

Wavelet basis is “sym7”

Decomposition level is 7

Threshold is “sqtwolog”

Threshold function is hard threshold function

AFD

Maximum steps of the decomposition is 50

Tolerance is 1e-3

OWSWATD

Wavelet basis set is “db2 ~ 10”, “sym2 ~ s10”, and “coif1 ~ 5”37

Decomposition level set is \(1,2, \cdots ,\left\lfloor {\log_{2} \left( N \right)} \right\rfloor\)

Improved thresholds39: \(\lambda_{j} = \frac{{\sigma_{j} \sqrt {2\log N} }}{{\log \left( {j^{2} + 1} \right)}}\), \(\sigma_{j} = \frac{{{\text{median}}\left( {\left| {w_{j,k}^{D} } \right|} \right)}}{0.6745}\), where \(\lambda_{j}\) is the threshold of the jth level, \(\sigma_{j}\) is the standard deviation of the detail coefficients of the jth level, \(w_{j,k}^{D}\) is the detail coefficients of the jth level

Improved threshold function20: \(\hat{w}_{j,k} = \left\{ {\begin{array}{*{20}c} {{\text{sgn}} \left( {w_{j,k} } \right)\left[ {\left| {w_{j,k} } \right| - \frac{{2\lambda_{j} }}{{1 + e^{{\left( {\left| {w_{j,k} } \right| - \lambda_{j} } \right)}} }}} \right],} & {\left| {w_{j,k} } \right| \ge \lambda_{j} } \\ {0,} & {\left| {w_{j,k} } \right| < \lambda_{j} } \\ \end{array} } \right.\), where \({\text{sgn}} \left( \cdot \right)\) is sign function