Pages that link to "Item:Q2123231"
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The following pages link to Identification and adaptation with binary-valued observations under non-persistent excitation condition (Q2123231):
Displaying 12 items.
- Adaptive tracking of a class of first-order systems with binary-valued observations and fixed thresholds (Q394374) (← links)
- System identification: regime switching, unmodeled dynamics, and binary sensors (Q419930) (← 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)
- Recursive projection algorithm on FIR system identification with binary-valued observations (Q2350804) (← links)
- Threshold selection and resource allocation for quantized identification (Q6130963) (← links)
- Identification of FIR systems with binary-valued observations against denial-of-service attacks (Q6160588) (← links)
- Estimation of IIR systems with binary-valued observations (Q6183895) (← links)
- Asymptotically efficient quasi-Newton type identification with quantized observations under bounded persistent excitations (Q6574466) (← links)
- Joint identification of system parameter and noise parameters in quantized systems (Q6648502) (← links)
- Binary observation-based FIR system identification against replay attacks (Q6664776) (← links)
- Optimal adaptive identification under saturated output observations and non-i.i.d data (Q6668655) (← links)
