Adaptive filter theory (2nd ed.)
Adaptive filter theory (2nd ed.)
List of references on spectral line analysis
Signal Processing
LMS-based notch filter for the estimation of sinusoidal signals in noise
Signal Processing
Unbiased estimation of a sinusoid in colored noise via adapted notch filters
Automatica (Journal of IFAC)
Signal Processing - Signal processing with heavy-tailed models
A method of extraction of nonstationary sinusoids
Signal Processing
A new IIR adaptive notch filter
Signal Processing
Single tone parameter estimation from discrete-time observations
IEEE Transactions on Information Theory
Strong consistency of the contraction mapping method for frequency estimation
IEEE Transactions on Information Theory
Automatica (Journal of IFAC)
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Multi-Sine Fitting Algorithm enhancement for sinusoidal signal characterization
Computer Standards & Interfaces
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An algebraic approach is proposed for the fast and reliable, on line, identification of the amplitude, frequency and phase parameters in unknown noisy sinusoidal signals. The proposed method uses the algebraic derivative method in the frequency domain yielding exact formulae, when placed in the time domain, for the unknown parameters. These formulae are synthesized in terms of time-varying linear unstable filters in combination with classical low-pass filters of the Butterworth type. The computations are performed in a quite small time interval which is only a small fraction of the first full cycle of the measured sinusoid signal. The method is also verified to be robust with respect to signal measurement noises and structured perturbations via digital computer simulations and, also, via actual laboratory experiments.