A statistically and computationally efficient method for frequency estimation
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Publication:1411875
DOI10.1016/S0304-4149(99)00085-XzbMath1024.62037WikidataQ127065645 ScholiaQ127065645MaRDI QIDQ1411875
Publication date: 3 November 2003
Published in: Stochastic Processes and their Applications (Search for Journal in Brave)
limiting distributionsadaptive regularization parameterinitial guesscontraction mapping methodestimating frequencies of sinusoidsiterative search procedures
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Inference from stochastic processes and spectral analysis (62M15)
Cites Work
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- Asymptotic analysis of a multiple frequency estimation method
- The maximum of the periodogram
- Limiting distributions of least squares estimates of unstable autoregressive processes
- Asymptotic normality of sample autocovariances with an application in frequency estimation
- Discrimination of Time Series by Parametric Filtering
- Statistical analysis of MUSIC and subspace rotation estimates of sinusoidal frequencies
- Accurate frequency estimation at low signal-to-noise ratio
- Performance analysis of an adaptive notch filter with constrained poles and zeros
- On frequency estimation
- MUSIC, maximum likelihood, and Cramer-Rao bound
- Tracking abrupt frequency changes
- A fast efficient technique for the estimation of frequency
- Asymptotic behavior of maximum likelihood estimates of superimposed exponential signals
- Strong consistency of the contraction mapping method for frequency estimation
- Time Series Characterization, Poisson Integral, and Robust Divergence Measures
- Two algorithms for adaptive retrieval of slowly time-varying multiple cisoids in noise
- Non-linear time series regression
- On the estimation of a harmonic component in a time series with stationary independent residuals
- Maximum likelihood methods for direction-of-arrival estimation
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