Rapid advances in designing cognitive and counter-adversarial systems have motivated the
development of inverse Bayesian filters. In this setting, a cognitive ‘adversary’ tracks its …

Inverse cognition aims to estimate the ‘estimate’ of a defender's state inferred by an adversarial
cognitive system such as radar when the defender observes the attacker's actions in a …

Multiple-input multiple-output (MIMO) radar has several advantages with respect to the
traditional radar array systems in terms of performance and flexibility. However, in order to …

Recent research in inverse cognition with cognitive radar has led to the development of
inverse stochastic filters that are employed by the target to infer the information the cognitive …

The heartbeat interval (HBI) signal (RR-time series), and electrocardiogram (ECG) derived
respiration (EDR) signal quantify the information about the cardiopulmonary activity, and …

Recent advances in counter-adversarial systems have garnered significant research attention
to inverse filtering from a Bayesian perspective. For example, interest in estimating the …

Counter-adversarial system design problems have lately motivated the development of inverse
Bayesian filters. For example, inverse Kalman filter (I-KF) has been recently formulated to …

Multiple-input multiple-output (MIMO) radar offers several performance and flexibility
advantages over traditional radar arrays. However, high angular and Doppler resolutions …

In counter-adversarial systems, to infer the strategy of an intelligent adversarial agent, the
defender agent needs to cognitively sense the information that the adversary has gathered …

In cognitive systems, recent emphasis has been placed on studying the cognitive processes
of the subject whose behavior was the primary focus of the system’s cognitive response. …