Name
Title | ||
|---|---|---|
Qualitative analysis of rotational modes within three dimensional empirical mode decomposition |
Abstract | ||
|---|---|---|
An analysis of quaternion-valued intrinsic mode functions (IMFs) within three dimensional empirical mode decomposition is presented. This is achieved by using the delay vector variance (DVV) method, which examines the signal predictability in phase space to assess the determinism and nonlinearity within the signal. The study illustrates that the contribution of the first few IMFs contain information related to the stochastic/nonlinear signal nature, whereas the lower order IMFs are largely deterministic. The analysis is supported by simulation results on a quaternion signal composed of linear/nonlinear benchmark signals and on real world wind data. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICASSP.2009.4960367 | ICASSP |
Keywords | Field | DocType |
lower order imfs,delay vector variance dvv.,delay vector variance,quaternion signal,nonlinear benchmark signal,qualitative analysis,phase space,intrinsic mode functions imfs,nonlinear signal nature,dimensional empirical mode decomposition,real world wind data,index terms— quaternion signal processing,empiri- cal mode decomposition emd,quaternion-valued intrinsic mode function,signal predictability,rotational mode,empirical mode decomposition,quaternions,vectors,signal processing,three dimensional,data mining,time frequency analysis,indexing terms,time series analysis,probability density function,signal analysis,stochastic processes | Signal processing,Time series,Mathematical optimization,Nonlinear system,Quaternion,Stochastic process,Time–frequency analysis,Probability density function,Mathematics,Hilbert–Huang transform | Conference |
ISSN | Citations | PageRank |
1520-6149 | 3 | 0.44 |
References | Authors | |
4 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Naveed ur Rehman | 1 | 84 | 12.66 |
| Danilo Mandic | 2 | 1641 | 173.32 |