this paper proposes a new method for parameter estimation of distorted single phase signals, through an improved demodulation-based phase tracking incorporated with a frequency adaptation mechanism. the simulation results demonstrate the superiority of the proposed method compared to the conventional sogi (second-order generalized integrator)-based approach, in spite of the dc-offset and harmon...

In this paper a novel hybrid algorithm for harmonics estimation in power systems is proposed. The estimation of the harmonic components is a nonlinear problem due to the nonlinearity of phase of sinusoids in distorted waveforms. Most researchers implemented nonlinear methods to extract the harmonic parameters. However, nonlinear methods for amplitude estimation increase time of convergence. Hen...

in this paper a novel hybrid algorithm for harmonics estimation in power systems is proposed. the estimation of the harmonic components is a nonlinear problem due to the nonlinearity of phase of sinusoids in distorted waveforms. most researchers implemented nonlinear methods to extract the harmonic parameters. however, nonlinear methods for amplitude estimation increase time of convergence. hen...

We propose to perform amplitude estimation with the help of constant-depth quantum circuits that variationally approximate states during amplification. In context Monte Carlo (MC) integration, we numerically show shallow can accurately many amplification steps. combine variational approach maximum likelihood [Y. Suzuki et al., Quantum Inf. Process. 19, 75 (2020)] in (VQAE). VQAE typically has l...

Abstract We introduce a variant of Quantum Amplitude Estimation (QAE) , called Iterative QAE (IQAE), which does not rely on Phase (QPE) but is only based Grover’s Algorithm reduces the required number qubits and gates. provide rigorous analysis IQAE prove that it achieves quadratic speedup up to double-logarithmic factor compared classical Monte Carlo simulation with provably small constant ove...

Many quantum algorithms contain an important subroutine, the amplitude estimation. As name implies, this is essentially parameter estimation problem and thus can be handled via established statistical theory. However, has intrinsic difficulty that system, i.e., real computing device, inevitably introduces unknown noise; probability distribution model then to incorporate many nuisance noise para...

To reduce the damages of aeolian vibration of conductors to the power transmission networks, the most common method is installation of Stock-bridge dampers. Estimation of the damper’s dissipated energy is an important factor in determining the number and location of installation of these types of vibration absorbers. This estimation is strongly dependent upon the assumed mode shape of the condu...

Inverse theory teaches us that the residual, or misfit function, should be weighted by the inverse covariance matrix of the noise. Because the covariance operator is often difficult to estimate, we can approximate it with a diagonal weight that can be more easily computed. This paper investigates the possible choices of weighting functions for the data residual when prediction-error filters are...