Add to ORKGThis paper presents a new algorithm based on the use of partial derivatives of the processed signal and the weighted estimation procedure to estimate the fundamental frequency, the amplitude and the phase of sinusoidal signal. The proposed algorithm is able to estimate the signal parameters simultaneously, supposing the time-varying frequency. The simulation results verify the effectiveness of the proposed algorithm
A dynamic estimator with global convergence property is proposed to simultaneously reconstruct the u...
A dynamic estimator with global convergence property is proposed to simultaneously reconstruct the u...
A dynamic estimator with global convergence property is proposed to simultaneously reconstruct the u...
This paper presents a new algorithm based on the use of partial derivatives of the processed signal ...
Estimating the fundamental frequency and harmonic parameters is basic for signal modelling in a powe...
Estimating the fundamental frequency and harmonic parameters is basic for signal modelling in a powe...
A computationally e±cient algorithm is proposed for estimating the parameters of sinusoidal signals ...
Estimating the fundamental frequency and harmonic parameters is basic for signal modeling in a power...
This paper presents an algorithm to estimate the parameters of two closely spaced sinusoids, providi...
The problem of estimating the frequencies of multiple sinusoids from noisy observations is addressed...
The comparison of three different algorithms for the estimation of parameters of two sine signals wi...
The paper deals with frequency estimation methods of sine-wave signals for a few signal cycles and c...
Abstract − In this paper, improved sine-fitting algorithms for the measurement of amplitude and phas...
A dynamic estimator with global convergence property is proposed to simultaneously reconstruct the u...
Estimating the parameters of the sum of a sinusoidal model in presence of additive noise is a classi...
A dynamic estimator with global convergence property is proposed to simultaneously reconstruct the u...
A dynamic estimator with global convergence property is proposed to simultaneously reconstruct the u...
A dynamic estimator with global convergence property is proposed to simultaneously reconstruct the u...
This paper presents a new algorithm based on the use of partial derivatives of the processed signal ...
Estimating the fundamental frequency and harmonic parameters is basic for signal modelling in a powe...
Estimating the fundamental frequency and harmonic parameters is basic for signal modelling in a powe...
A computationally e±cient algorithm is proposed for estimating the parameters of sinusoidal signals ...
Estimating the fundamental frequency and harmonic parameters is basic for signal modeling in a power...
This paper presents an algorithm to estimate the parameters of two closely spaced sinusoids, providi...
The problem of estimating the frequencies of multiple sinusoids from noisy observations is addressed...
The comparison of three different algorithms for the estimation of parameters of two sine signals wi...
The paper deals with frequency estimation methods of sine-wave signals for a few signal cycles and c...
Abstract − In this paper, improved sine-fitting algorithms for the measurement of amplitude and phas...
A dynamic estimator with global convergence property is proposed to simultaneously reconstruct the u...
Estimating the parameters of the sum of a sinusoidal model in presence of additive noise is a classi...
A dynamic estimator with global convergence property is proposed to simultaneously reconstruct the u...
A dynamic estimator with global convergence property is proposed to simultaneously reconstruct the u...
A dynamic estimator with global convergence property is proposed to simultaneously reconstruct the u...