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Cognitive radar: Step toward bridging the gap between neuroscience and engineering
In this paper, we describe a cognitive radar (CR) that mimics the visual brain. Although the
visual brain and radar are different in that the visual brain does not transmit a probing signal …
visual brain and radar are different in that the visual brain does not transmit a probing signal …
Kernel risk-sensitive loss: definition, properties and application to robust adaptive filtering
Nonlinear similarity measures defined in kernel space, such as correntropy, can extract
higher order statistics of data and offer potentially significant performance improvement over …
higher order statistics of data and offer potentially significant performance improvement over …
[کتاب][B] System parameter identification: information criteria and algorithms
B Chen, Y Zhu, J Hu, JC Principe - 2013 - books.google.com
Recently, criterion functions based on information theoretic measures (entropy, mutual
information, information divergence) have attracted attention and become an emerging area …
information, information divergence) have attracted attention and become an emerging area …
Minimax robust detection: Classic results and recent advances
This paper provides an overview of results and concepts in minimax robust hypothesis
testing for two and multiple hypotheses. It starts with an introduction to the subject …
testing for two and multiple hypotheses. It starts with an introduction to the subject …
[کتاب][B] Max-plus methods for nonlinear control and estimation
WM McEneaney - 2006 - books.google.com
The control and estimation of continuous-time/continuous-space nonlinear systems
continues to be a challenging problem, and this is one of the c-tral foci of this book. A …
continues to be a challenging problem, and this is one of the c-tral foci of this book. A …
Robust Kalman filtering under model perturbations
We consider a family of divergence-based minimax approaches to perform robust filtering.
The mismodeling budget, or tolerance, is specified at each time increment of the model …
The mismodeling budget, or tolerance, is specified at each time increment of the model …
Fast Kalman-like optimal unbiased FIR filtering with applications
In this paper, an optimal unbiased finite impulse response (OUFIR) filter is proposed as a
linking solution between the unbiased FIR (UFIR) filter and the Kalman filter (KF). We first …
linking solution between the unbiased FIR (UFIR) filter and the Kalman filter (KF). We first …
Robust kalman filtering under model uncertainty: The case of degenerate densities
In this article, we consider a robust state-space filtering problem in the case that the
transition probability density is unknown and possibly degenerate. The resulting robust filter …
transition probability density is unknown and possibly degenerate. The resulting robust filter …
Self-tuning unbiased finite impulse response filtering algorithm for processes with unknown measurement noise covariance
An unbiased finite impulse response (UFIR) filtering algorithm is designed in the discrete-
time state-space for industrial processes with unknown measurement data covariance. By …
time state-space for industrial processes with unknown measurement data covariance. By …
An improved iterative FIR state estimator and its applications
In this paper, an iterative finite impulse response (FIR) filter is proposed for discrete time-
varying state-space models, with the purpose of a new initialization strategy for the iterative …
varying state-space models, with the purpose of a new initialization strategy for the iterative …