Results 321 to 330 of about 2,624,244 (381)

Nonlinear Models of Clinical Judgment: Communal Nonlinearity and Nonlinear Accuracy

Psychological Science, 2001
Despite our intuition that representative expert judgments are highly nonlinear, previous studies have shown only little, if any, nonlinearity in such judgments. The current study presents a method for assessing nonlinearity in judgment that is based on estimating communal nonlinearity—the systematic nonlinearity shared by the community of judges. The
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Novel approach to nonlinear/non-Gaussian Bayesian state estimation

, 1993
An algorithm, the bootstrap filter, is proposed for implementing recursive Bayesian filters. The required density of the state vector is represented as a set of random samples, which are updated and propagated by the algorithm.
N. Gordon, D. Salmond, Adrian F. M. Smith   +2 more
semanticscholar   +1 more source

XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification.

Analytical Chemistry, 2006
Metabolite profiling in biomarker discovery, enzyme substrate assignment, drug activity/specificity determination, and basic metabolic research requires new data preprocessing approaches to correlate specific metabolites to their biological origin.
Colin A. Smith, E. Want, Grace O'Maille, R. Abagyan, G. Siuzdak   +4 more
semanticscholar   +1 more source

Nonlinear computation

Journal of the Franklin Institute, 1997
Nonlinear Computation will provide a framework for the computational science and engineering of the future. Topics such as bifurcation and chaos, and methods such as continuation and branch switching, and features such as stability and sensitivity are basic ingredients in the attempt to understand our world. Nonlinear Computation is indispensable when
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Nonlinear structural modification and nonlinear coupling

Mechanical Systems and Signal Processing, 2012
Structural modification methods were proved to be very useful for large structures, especially when modification is local. Although there may be inherent nonlinearities in a structural system in various forms such as clearances, friction and cubic stiffness, almost all of the structural modification methods are for linear systems.
H. Nevzat Özgüven, Taner Kalaycıoğlu, Taner Kalaycıoğlu   +2 more
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The unscented Kalman filter for nonlinear estimation

Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium (Cat. No.00EX373), 2000
This paper points out the flaws in using the extended Kalman filter (EKE) and introduces an improvement, the unscented Kalman filter (UKF), proposed by Julier and Uhlman (1997).
E. Wan, Rudolph van der Merwe
semanticscholar   +1 more source

Introduction to Applied Nonlinear Dynamical Systems and Chaos

, 1989
Equilibrium Solutions, Stability, and Linearized Stability * Liapunov Functions * Invariant Manifolds: Linear and Nonlinear Systems * Periodic Orbits * Vector Fields Possessing an Integral * Index Theory * Some General Properties of Vector Fields ...
S. Wiggins
semanticscholar   +1 more source

Auditory Nonlinearity

The Journal of the Acoustical Society of America, 1967
Combination tones (CT's) produced by two-tone stimuli (f1 and f2) at relatively low sound levels contradict the classical view that auditory mechanics is an essentially linear process that suffers significant percentage distortion only at high sound levels.
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DESIGN OF NONLINEAR CONTROLLERS FOR NONLINEAR PLANTS

IFAC Proceedings Volumes, 1990
Abstract The paper describes three methods for designing nonlinear phase lead/lag controllers to be used in cascade with nonlinear plants to provide closed loop responses which are essentially amplitude independent. The approach requires amplitude dependent frequency response descriptions of the nonlinear plants, makes use of the describing function ...
Derek P. Atherton, O. Nanka-Bruce
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“Once Nonlinear, Always Nonlinear”

AIP Conference Proceedings, 2006
The phrase “Once nonlinear, always nonlinear” is attributed to David F. Pernet. In the 1970s he noticed that nonlinearly generated higher harmonic components (both tones and noise) don’t decay as small signals, no matter how far the wave propagates. Despite being out of step with the then widespread notion that small‐signal behavior is restored in “old
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