Results 201 to 210 of about 2,630,733 (260)
Gain Adaptation in Virtual Reality
Xue Teng, Laurie Wilcox, Robert Allison
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Research is strongest when conducted alongside patients, not just about them. Patient research organizations help integrate patient perspectives into research priorities, study design, and scientific meetings, leading to meaningful patient outcomes and development of relevant therapies.
Jenica H. Kakadia +9 more
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The presence of biotin‐binding avidin proteins in fish and their biological significance are poorly characterized. We cataloged fish avidins and demonstrate that they are widely present and evolutionarily conserved. We created avd knockout zebrafish and show that zebavidin is dispensable for development and that resistance of avd knockout embryos in ...
Anni K. Saralahti +5 more
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Adaptation and gain normalization
Proceedings of the Royal Society of London. Series B. Biological Sciences, 1982Abstract It has been suggested in the past that adaptation effects may serve a useful role in perception. This paper shows that if the adaptation process follows a simple scheme, called proportional gain adjustment, then it can fulfil two useful functions : correction of errors and recalibration.
S, Ullman, G, Schechtman
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Twisting-controller gain adaptation
IEEE Conference on Decision and Control and European Control Conference, 2011Adaptation of twisting controller is performed in order to diminish the discontinuous control magnitude. The second-order real sliding mode is stably kept due to the instant multiplication of the gain by a chosen constant factor at the moments when the divergence is detected. Then the gain is gradually decreased.
Levant, Arie +2 more
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Dynamical adaptation in photoreceptors with gain control
Physical Biology, 2022Abstract The retina hosts all processes needed to convert external visual stimuli into a neural code. Light phototransduction and its conversion into an electrical signal involve biochemical cascades, ionic regulations, and different kinds of coupling, among other relevant processes.
Miguel Castillo García +1 more
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Adaptive identification as gain scheduling
Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301), 2002We consider the Lyapunov approach to adaptive identification for systems with unknown time invariant parameter. We describe the adaptive identification problem as stability analysis for a linear parameter varying system, and then discuss the convergence of identification error and its convergence rate based on a parameter dependent Lyapunov function.
Ryo Watanabe, Kenko Uchida
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Adaptive gain control (Corresp.)
IEEE Transactions on Information Theory, 1971A Bayesian learning algorithm for statistically optimum adaptive gain control (AGC) is derived in which the receiver gain is adjusted during the learning process so that the average cost of excluding the received signal from the receiver's dynamic range is minimized.
Chia-Pu Wang, Stephen S. Rappaport
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More on Gain Adaptive Tracking
Journal of Guidance, Control, and Dynamics, 1997The polymorphic estimator algorithm proposed by the first author, \textit{R. Vojak} and \textit{R. G. Hutchins} [J. Guid. Control Dyn. 16, 865-873 (1993)] is modified in order to improve the tracking performance in the presence of discontinuities. The novelty of the approach results from the measurement architectures. This algorithm is shown by example
Sworder, D. D., Boyd, J. E.
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Journal of Guidance, Control, and Dynamics, 1993
Properly joining the different modes of a multiregime tracker is difficult. This paper describes a novel, image-based algorithm for tracking a maneuvering target. The form of the algorithm is like the extended Kalman filter, but the gain adjustment utilizes image information in a sophisticated manner to better compute the error covariance.
D. Sworder, R. Vojak, R. G. Hutchins
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Properly joining the different modes of a multiregime tracker is difficult. This paper describes a novel, image-based algorithm for tracking a maneuvering target. The form of the algorithm is like the extended Kalman filter, but the gain adjustment utilizes image information in a sophisticated manner to better compute the error covariance.
D. Sworder, R. Vojak, R. G. Hutchins
openaire +1 more source

