Pages that link to "Item:Q1796990"

The following pages link to Recursive identification of systems with binary-valued outputs and with ARMA noises (Q1796990):

Displaying 21 items.

• Almost sure convergence rates for system identification using binary, quantized, and regular sensors (Q466294) (← links)
• Joint identification of plant rational models and noise distribution functions using binary-valued observations (Q856497) (← links)
• Identification of ARMA models using intermittent and quantized output observations (Q1940254) (← links)
• A unified identification algorithm of FIR systems based on binary observations with time-varying thresholds (Q2059375) (← links)
• Distributed recursive projection identification with binary-valued observations (Q2070033) (← links)
• Identification and adaptation with binary-valued observations under non-persistent excitation condition (Q2123231) (← links)
• Identification of errors-in-variables systems with general nonlinear output observations and with ARMA observation noises (Q2179640) (← links)
• A recursive parameter estimation algorithm for modeling signals with multi-frequencies (Q2193644) (← links)
• Parameter estimation based on set-valued signals: theory and application (Q2316290) (← links)
• Recursive identification of quantized linear systems (Q2320614) (← links)
• Identification of ARMA models with binary-valued observations (Q2681369) (← links)
• Either-or communication-based identification of FIR systems with binary-valued observations and channel uncertainty (Q2687753) (← links)
• Two-stage multi-innovation stochastic gradient algorithm for multivariate output-error ARMA systems based on the auxiliary model (Q5025871) (← links)
• Asymptotic efficiency and probabilistic error bound for maximum likelihood‐based identification of finite impulse response systems with binary‐valued observations and unreliable communications (Q6049910) (← links)
• Threshold selection and resource allocation for quantized identification (Q6130963) (← links)
• Estimation of IIR systems with binary-valued observations (Q6183895) (← links)
• FIR system identification under congruential summation-triggered communication scheme with binary observations (Q6551644) (← links)
• Asymptotically efficient quasi-Newton type identification with quantized observations under bounded persistent excitations (Q6574466) (← links)
• Recursive system identification method from binary input/output measurements (Q6583423) (← links)
• Identification of linear systems using binary sensors with random thresholds (Q6595002) (← links)
• Joint identification of system parameter and noise parameters in quantized systems (Q6648502) (← links)