X, Y position

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X, Y position
Process to get the Zernike coefficient
Rho, Theta
zStd(Rho, Theta,maxTerm)
zMatrix , nVector, mVector, jVector
Zernike coefficients (using Least Square
Fitting) - Back slash operator or lscov function
in Matlab
Fitted zernike surface zMatrix zernike
coefficients
Residual Target surface - Fitted zernike surface
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Modified Zernike Polynomial
Robert J. Noll, J. Opt. Soc. Am., Vol. 66, No. 3,
March 1976
James Wyant, Lecture note.
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Zernike polynomials.
Robert J. Noll, J. Opt. Soc. Am., Vol. 66, No. 3,
March 1976
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Back slash operator for ordinary least square
fitting
The MATLAB backslash operator (\) enables you to
perform linear regression by computing ordinary
least-squares (OLS) estimates of the regression
coefficients. ZernikeCoefficientzMatrix\result_d
isplacement_ures
Lscov() for weighted least square fitting
Weight parameter area contains a point at the
center of the area
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