Pages that link to "Item:Q614318"

The following pages link to Signal frequency and parameter estimation for power systems using the hierarchical identification principle (Q614318):

Displaying 24 items.

• Data filtering-based least squares iterative algorithm for Hammerstein nonlinear systems by using the model decomposition (Q335697) (← links)
• Hierarchical least squares based iterative estimation algorithm for multivariable Box-Jenkins-like systems using the auxiliary model (Q426616) (← links)
• Hierarchical gradient based iterative parameter estimation algorithm for multivariable output error moving average systems (Q552195) (← links)
• Performance analysis of the AM-SG parameter estimation for multivariable systems (Q628916) (← links)
• Least squares based iterative parameter estimation algorithm for multivariable controlled ARMA system modelling with finite measurement data (Q636441) (← links)
• An improved phasor based algorithm for accurate frequency measurement (Q649632) (← links)
• DFT-based recursive group-harmonic energy distribution approach for power interharmonic identification (Q745804) (← links)
• Data filtering based maximum likelihood extended gradient method for multivariable systems with autoregressive moving average noise (Q1648051) (← links)
• Parameter estimation in mean reversion processes with deterministic long-term trend (Q1658013) (← links)
• Performance analysis of the recursive parameter estimation algorithms for multivariable Box-Jenkins systems (Q1660344) (← links)
• The model equivalence based parameter estimation methods for Box-Jenkins systems (Q1660791) (← links)
• Parameters estimation of interharmonic based on state space model (Q1719003) (← links)
• Model equivalence-based identification algorithm for equation-error systems with colored noise (Q1736655) (← links)
• Maximum likelihood least squares identification method for input nonlinear finite impulse response moving average systems (Q1930955) (← links)
• Robust power system frequency estimation based on a sliding window approach (Q2298284) (← links)
• Iterative parameter estimation for signal models based on measured data (Q2312527) (← links)
• Improved parameter identification method for envelope current signals based on windowed interpolation FFT and DE algorithm (Q2331630) (← links)
• Signal modeling using the gradient search (Q2339039) (← links)
• Filtering-based multistage recursive identification algorithm for an input nonlinear output-error autoregressive system by using the key term separation technique (Q2399050) (← links)
• Modelling and multi-innovation parameter identification for Hammerstein nonlinear state space systems using the filtering technique (Q2808783) (← links)
• A signal processing adaptive algorithm for nonstationary power signal parameter estimation (Q2857513) (← links)
• An efficient measurement algorithm for tracking frequency variation in power systems (Q3400229) (← links)
• Weighted hierarchical stochastic gradient identification algorithms for ARX models (Q5027992) (← links)
• Efficient coherent adaptive representations of monitored electric signals in power systems using damped sinusoids (Q5356714) (← links)