Name
Abstract | ||
|---|---|---|
It is shown that the TLS-LP (total least squares-linear prediction) method and the SVD-Prony method are equivalent to the first-order perturbation approximation. In practice, it means that the two methods yield the same estimation variances when the signal-to-noise ratio (SNR) is above a threshold.<> |
Year | DOI | Venue |
|---|---|---|
1990 | 10.1109/29.103101 | Acoustics, Speech and Signal Processing, IEEE Transactions |
Keywords | Field | DocType |
filtering and prediction theory,least squares approximations,SNR,SVD-Prony method,first-order perturbation approximation,perturbation property,signal-to-noise ratio,total least squares-linear prediction | Least squares,Mathematical optimization,Signal-to-noise ratio,Generalized least squares,Non-linear least squares,Total least squares,Mathematics,Signal transfer function,Perturbation (astronomy) | Journal |
Volume | Issue | ISSN |
38 | 11 | 0096-3518 |
Citations | PageRank | References |
8 | 2.42 | 1 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yingbo Hua | 1 | 2614 | 250.12 |
| Sarkar, T.K. | 2 | 471 | 117.33 |