Name
Abstract | ||
|---|---|---|
A novel approach toward the spectral analysis of stationary random bivariate signals is proposed. Unlike existing approaches, the proposed framework exhibits a natural link between well-defined statistical objects and physical parameters for bivariate signals. Using the quaternion Fourier transform, we introduce a quaternion-valued spectral representation of random bivariate signals seen as comple... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TSP.2017.2736494 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
Quaternions,Fourier transforms,Spectral analysis,Random processes,Standards,Estimation,Indexes | Statistical physics,Autocovariance,Spectral density estimation,Combinatorics,Mathematical optimization,Scalar (physics),Stochastic process,Fourier transform,Synthetic data,Spectral density,Bivariate analysis,Mathematics | Journal |
Volume | Issue | ISSN |
65 | 23 | 1053-587X |
Citations | PageRank | References |
2 | 0.40 | 14 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Julien Flamant | 1 | 3 | 2.13 |
| Nicolas Le Bihan | 2 | 254 | 23.35 |
| Pierre Chainais | 3 | 61 | 12.32 |