Abstract
SUMMARY: A technique is presented for the estimation of the frequency of a sinusoid in the presence of noise. The technique is based on fitting ARMA (2, 2) models iteratively, in a special way. The estimator is shown to be strongly consistent and as efficient as the least squares estimator of the frequency, or the periodogram maximizer. A simple accelerated version of the technique is shown to converge in a small number of iterations, the number depending on the accuracy of the initiator of the procedure. The results of a number of simulations are reported.
| Original language | English |
|---|---|
| Pages (from-to) | 489-497 |
| Number of pages | 9 |
| Journal | Biometrika |
| Volume | 78 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Sept 1991 |
| Externally published | Yes |
Keywords
- Frequency estimation
- Periodogram
- Sinusoidal regression
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