Research Article
An Improved Empirical Mode Decomposition Based on Local Integral Mean and Its Application in Signal Processing
Table 13
IOjk of GSTA decomposed by EEMD.
| | IOjk | k = 2 | k = 3 | k = 4 | k = 5 | k = 6 | k = 7 | k = 8 | k = 9 | k = 10 | k = 11 |
| | j = 1 | 7.0 × 10−2 | 1.9 × 10−2 | 4.7 × 10−3 | 1.7 × 10−3 | 1.4 × 10−4 | 2.9 × 10−4 | −6.0 × 10−4 | −6.2 × 10−4 | −2.5 × 10−4 | 1.2 × 10−4 | | j = 2 | | 2.8 × 10−1 | 2.3 × 10−2 | −3.2 × 10−2 | −2.5 × 10−2 | −1.3 × 10−2 | −1.6 × 10−4 | 7.7 × 10−3 | 4.7 × 10−3 | 5.8 × 10−3 | | j = 3 | | | 1.9 × 10−1 | −3.7 × 10−3 | −1.1 × 10−2 | 4.1 × 10−4 | −1.7 × 10−4 | 4.5 × 10−3 | 3.9 × 10−3 | 2.1 × 10−3 | | j = 4 | | | | 2.1 × 10−1 | −2.2 × 10−2 | −3.3 × 10−2 | −8.7 × 10−3 | 1.5 × 10−4 | −2.3 × 10−3 | 1.3 × 10−3 | | j = 5 | | | | | 6.5 × 10−2 | −3.9 × 10−3 | 1.3 × 10−2 | 3.1 × 10−3 | −3.7 × 10−4 | 8.9 × 10−4 | | j = 6 | | | | | | 1.3 × 10−1 | −3.3 × 10−2 | 1.7 × 10−3 | 9.4 × 10−3 | 3.0 × 10−3 | | j = 7 | | | | | | | 1.0 × 10−1 | −2.4 × 10−4 | −9.1 × 10−3 | 2.4 × 10−3 | | j = 8 | | | | | | | | 1.9 × 10−1 | 8.2 × 10−2 | −3.2 × 10−2 | | j = 9 | | | | | | | | | 3.1 × 10−1 | 1.4 × 10−1 | | j = 10 | | | | | | | | | | 1.4 × 10−1 |
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