Name
Abstract | ||
|---|---|---|
Phase unwrapping is one of the frequency estimation methods, which performs linear regression (LR) on the unwrapped phase of the single sinusoid signal. The least squares phase unwrapping estimator (LSPUE) is proved to have the same performance as the classical periodogram estimator, but the available algorithm has the computational complexity as high as O(N3 log N). A fast LSPUE algorithm is inve... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/LSP.2016.2555933 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Frequency estimation,Signal processing algorithms,Signal to noise ratio,Reactive power,Computational complexity,Maximum likelihood estimation,Lattices | Least squares,Binary logarithm,Lattice (order),AC power,Artificial intelligence,Linear regression,Mathematical optimization,Pattern recognition,Signal-to-noise ratio,Algorithm,Mathematics,Computational complexity theory,Estimator | Journal |
Volume | Issue | ISSN |
23 | 6 | 1070-9908 |
Citations | PageRank | References |
1 | 0.38 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhengguang Xu | 1 | 84 | 8.83 |
| Tianqi Lu | 2 | 2 | 0.75 |
| Benxiong Huang | 3 | 168 | 19.36 |