A closed-form ARMA-based ML-estimator of a single-tone frequency

DOI10.1007/s00034-017-0714-3zbMath1435.94083OpenAlexW2769993365MaRDI QIDQ2333087

Igor Omelchuk, Iurii Chyrka

Publication date: 8 November 2019

Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00034-017-0714-3

zbMATH Keywords

frequency estimationmaximum likelihoodautoregressive moving average modelsingle-tone harmonicstrongly correlated interference

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Cites Work

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• Frequency estimation of real-valued single-tone in colored noise using multiple autocorrelation lags
• Asymptotic statistical analysis of autoregressive frequency estimates
• On statistical analysis of Pisarenko tone frequency estimator
• Closed-form real single-tone frequency estimator based on a normalized IIR notch filter
• A fast efficient technique for the estimation of frequency
• MAP/ML Estimation of the Frequency and Phase of a Single Sinusoid in Noise
• Reformulation of Pisarenko Harmonic Decomposition Method for Single-Tone Frequency Estimation
• Iterative frequency estimation by interpolation on Fourier coefficients
• Linear prediction approach for efficient frequency estimation of multiple real sinusoids: algorithms and analyses

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