Data processing: measuring – calibrating – or testing – Measurement system – Measured signal processing
Reexamination Certificate
2006-02-21
2006-02-21
Raymond, Edward (Department: 2857)
Data processing: measuring, calibrating, or testing
Measurement system
Measured signal processing
C356S300000
Reexamination Certificate
active
07003436
ABSTRACT:
An apparatus, software, and method for segregating out background signals from a signal of interest comprising sampling a signal that includes the background signals over one or more periods of time, forming a matrix from results of the sampling, calculating a matrix of basis functions via a singular value decomposition of the matrix from the forming operation, and determining a set of basis functions to employ to segregate out background signals. Also a corresponding wavelength modulation spectroscopy apparatus, software, and method.
REFERENCES:
patent: 5450193 (1995-09-01), Carlsen et al.
D. Broomhead, et al. “Extracting qualitative dynamics from experimental data,”Physica20D, pp. 217-236 (1986).
A. Jain,Fundamentals of Digital Image Processing,Prentice Hall Information and Systems Sciences Series, Prentice Hall, Englewood Cliffs (1989).
W. Press, et al.,Numerical Recipes in C: The Art of Scientific Computing,2d ed., Cambridge University Press, Cambridge; pp 51-63 (1995).
M. Richman, “Rotation of Principal Components”,Journal of Climatology6:393-335 (1986).
G. Stewart, “Perturbation Theory for the Singular Value Decomposition”, University of Maryland Computer Science Technical Report CS-TR-2539 (1990).
Hovde David Christian
Kane Daniel J.
Myers Jeffrey D.
Peacock & Myers, P.C.
Raymond Edward
Southwest Sciences Incorporated
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