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    Stability Analysis of an Extrapolated Force Correction Method for Nonlinear Structural Dynamics 

    Source: Journal of Applied Mechanics:;1982:;volume( 049 ):;issue: 001:;page 203
    Author(s): D. M. Trujillo
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, conditions for the unconditional stability of an extrapolated force correction method have been identified. The analysis assumed a nonlinear elastodynamic system for which energy ...
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    Numerical Experiments With a New Differentiation Filter 

    Source: Journal of Biomechanical Engineering:;1985:;volume( 107 ):;issue: 004:;page 293
    Author(s): H. R. Busby; D. M. Trujillo
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A dynamic programming filter which provides estimates of the first and second derivative of empirical displacement data is investigated numerically. This filter uses a weighted least squares ...
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    A Mathematical Method for the Measurement of Bone Motion With Skin-Mounted Accelerometers 

    Source: Journal of Biomechanical Engineering:;1990:;volume( 112 ):;issue: 002:;page 229
    Author(s): D. M. Trujillo; H. R. Busby
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The methods of dynamic programming and generalized crossvalidation are used to estimate the acceleration of bone motion using skin-mounted accelerometers. Numerical experiments are performed to ...
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    Investigation of a Technique for the Differentiation of Empirical Data 

    Source: Journal of Dynamic Systems, Measurement, and Control:;1983:;volume( 105 ):;issue: 003:;page 200
    Author(s): D. M. Trujillo; H. R. Busby
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A dynamic programming filter is derived to estimate the first and second derivatives of empirical data. A series of numerical experiments are conducted using a known differentiable function with ...
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    Smoothing Noisy Data Using Dynamic Programming and Generalized Cross-Validation 

    Source: Journal of Biomechanical Engineering:;1988:;volume( 110 ):;issue: 001:;page 37
    Author(s): C. R. Dohrmann; D. M. Trujillo; H. R. Busby
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Smoothing and differentiation of noisy data using spline functions requires the selection of an unknown smoothing parameter. The method of generalized cross-validation provides an excellent estimate ...
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