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 |