Pages that link to "Item:Q2059375"

The following pages link to A unified identification algorithm of FIR systems based on binary observations with time-varying thresholds (Q2059375):

Displaying 9 items.

• Almost sure convergence rates for system identification using binary, quantized, and regular sensors (Q466294) (← links)
• Recursive identification of FIR systems with binary-valued outputs and communication channels (Q900213) (← links)
• Event-triggered identification of FIR systems with binary-valued output observations (Q1716580) (← links)
• Identification and adaptation with binary-valued observations under non-persistent excitation condition (Q2123231) (← links)
• Recursive projection algorithm on FIR system identification with binary-valued observations (Q2350804) (← links)
• Threshold selection and resource allocation for quantized identification (Q6130963) (← 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)