Frequency estimation of undamped exponential signals using genetic algorithms
Computational Statistics & Data Analysis
Near optimum sampling design and an efficient algorithm for single tone frequency estimation
Digital Signal Processing
Recent advances in rapid frequency estimation
Digital Signal Processing
An active contour algorithm for spectrogram track detection
Pattern Recognition Letters
Generalization of iterative Fourier interpolation algorithms for single frequency estimation
Digital Signal Processing
A detailed investigation into low-level feature detection in spectrogram images
Pattern Recognition
Fast communication: Robust M-periodogram with dichotomous search
Signal Processing
On the detection of tracks in spectrogram images
Pattern Recognition
| Hi-index | 35.68 |
The periodogram of a time series that contains a sinusoidal component provides a crude estimate of its frequency parameter, the maximizer over the Fourier frequencies being within O(T-1) of the frequency as the sample size T increases. In the paper, a technique for obtaining an estimator that has root mean square error of order T -3/2 is presented, which involves only the Fourier components of the time series at three frequencies, The asymptotic variance of the estimator varies between, roughly, the asymptotic variance of the maximizer of the periodogram over all frequencies (the Cramer-Rao lower bound) and three times this variance. The advantage of the new estimator is its computational simplicity