Pages that link to "Item:Q901101"

The following pages link to Novel parameter estimation of autoregressive signals in the presence of noise (Q901101):

Displaying 22 items.

• Decomposition based least squares iterative identification algorithm for multivariate pseudo-linear ARMA systems using the data filtering (Q508335) (← links)
• Inverse filtering based method for estimation of noisy autoregressive signals (Q537282) (← links)
• Two-dimensional noisy autoregressive estimation with application to joint frequency and direction of arrival estimation (Q784559) (← links)
• Bias correction-based recursive estimation for dual-rate output-error systems with sampling noise (Q831574) (← links)
• Parameter estimation of multichannel autoregressive processes in noise (Q947367) (← links)
• Consistent estimation of autoregressive parameters from noisy observations based on two interacting Kalman filters (Q1031371) (← links)
• Parameter estimation of autoregressive signals from observations corrupted with colored noise (Q1048786) (← links)
• Autoregressive state-space approach for numerical signal analysis (Q1128469) (← links)
• Guaranteed estimation of a periodic signal distorted by an autoregressive noise with unknown parameters. (Q1130101) (← links)
• Adaptive algorithm for noisy autoregressive signals (Q1841258) (← links)
• Confidence estimation of autoregressive parameters based on noisy data (Q1982848) (← links)
• Two dimensional autoregressive estimation from noisy observations as a quadratic eigenvalue problem (Q2014155) (← links)
• Method of noise-robust estimation of parameters of an autoregressive model in the frequency domain (Q2058705) (← links)
• Robust manifold broad learning system for large-scale noisy chaotic time series prediction: a perturbation perspective (Q2185604) (← links)
• Fault estimation based on sliding mode observer for Takagi-Sugeno fuzzy systems with digital communication constraints (Q2291077) (← links)
• Estimation of the parameters of multichannel autoregressive signals from noisy observations (Q2377831) (← links)
• A robust method for parameter estimation of AR systems using empirical mode decomposition (Q2430927) (← links)
• Recovering of autoregressive spectral estimates of signals buried in noise (Q2460897) (← links)
• A least-squares based method for autoregressive signals in the presence of noise (Q2733030) (← links)
• (Q3780319) (← links)
• Prescribed-time sensor fault estimation for linear systems with unknown inputs by periodic delayed observers (Q6560431) (← links)
• Recursive identification of noisy autoregressive models via a noise-compensated overdetermined instrumental variable method (Q6567104) (← links)