Name
Title | ||
|---|---|---|
Detecting signal quality by ensemble empirical mode decomposition and Monte Carlo verification. |
Abstract | ||
|---|---|---|
•Applied empirical mode decomposition and Monte Carlo verification algorithms to detect the signal quality.•We simplify the signal quality into a simple distance index.•Complicated noise level can be obtained via corresponding to a simple distance index. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.bspc.2015.01.010 | Biomedical Signal Processing and Control |
Keywords | Field | DocType |
Bio-signal,Ensemble empirical mode decomposition (EEMD),Intrinsic mode functions (IMFs),Monte Carlo verification,White noise | Monte Carlo method,Pattern recognition,Signal quality,Computer science,White noise,Artificial intelligence,Interference (wave propagation),Hilbert–Huang transform | Journal |
Volume | ISSN | Citations |
20 | 1746-8094 | 1 |
PageRank | References | Authors |
0.37 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yun-Kai Lee | 1 | 1 | 0.71 |
| Sung-Chun Tang | 2 | 1 | 1.72 |
| Jia-Rong Yeh | 3 | 68 | 5.99 |
| Jiann Shing Shieh | 4 | 224 | 28.44 |