Data processing: structural design – modeling – simulation – and em – Modeling by mathematical expression
Reexamination Certificate
2004-07-19
2009-11-10
Bahta, Kidest (Department: 2123)
Data processing: structural design, modeling, simulation, and em
Modeling by mathematical expression
C703S007000, C703S011000, C382S131000, C382S260000, C382S279000
Reexamination Certificate
active
07617080
ABSTRACT:
Data from a target system (616) that exhibits a non-linear relationship between system properties and measurement data, is processed by applying a linear filter (F) to improve resolution and accuracy. The filter reduces inaccuracies that are introduced by an algorithm used to reconstruct the data. The filter is defined by assigning time varying functions, such as sinusoids (200), to elements (210) in a model (Y) of the system to perturbate the elements. The resulting data output from the model is reconstructed using the same algorithm used to subsequently reconstruct the data from the target system. The filter is defined as a matrix (F) that transforms the reconstructed data of the model (X) back toward the known properties of the model (Y). A library of filters can be pre-calculated for different applications. In an example implementation, the system is tissue that is imaged using optical tomography.
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Barbour Randall L.
Graber Harry L.
Pei Yaling
Xu Yong
Bahta Kidest
Jacob Mary C
Scully , Scott, Murphy & Presser, P.C.
The United States of America as represented by the Department of
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