On the algebraic identification of the frequencies, amplitudes and phases of two sinusoidal signals from their noisy sum

DOI10.1080/00207170701561419zbMath1152.93510OpenAlexW2049090092WikidataQ59313163 ScholiaQ59313163MaRDI QIDQ3542987

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Publication date: 1 December 2008

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207170701561419

Mathematics Subject Classification ID

System identification (93B30) Signal detection and filtering (aspects of stochastic processes) (60G35) Identification in stochastic control theory (93E12)

Related Items (3)

Frequency-shifting-based stable on-line algebraic parameter identification of linear systems ⋮ An algebraic continuous time parameter estimation for a sum of sinusoidal waveform signals ⋮ Model-free control

Cites Work

• A method of extraction of nonstationary sinusoids
• An algebraic frequency estimator for a biased and noisy sinusoidal signal
• Unbiased estimation of a sinusoid in colored noise via adapted notch filters
• On the parametrization and design of an extended Kalman filter frequency tracker
• On the design of adaptive notch filters
• Tracking abrupt frequency changes
• Single tone parameter estimation from discrete-time observations
• Strong consistency of the contraction mapping method for frequency estimation
• An algebraic framework for linear identification
• A globally convergent frequency estimator
• Global frequency estimation using adaptive identifiers
• A globally convergent estimator for n-frequencies
• An Adaptive Notch Filter for Frequency Estimation of a Periodic Signal

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