Zernike Polynomial Coefficients for a given Wavefront using Matrix Inversion in Matlab 1.0

Date Added: April 05, 2013 | Visits: 342

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Represent a wavefront as a sum of Zernike polynomials using a matrix inversion.This function attempts to solve the a_i's in equation, phi(rho,theta) = SUM(a_i * Z_i(rho,theta), i=1 to M),where the Z_i(rho,theta)'s are the Zernike polynomials from the zernfun.m file, phi is the wavefront to be represented as a sum of Zernike polynomials, the a_i's are the Zernike coefficients, and M is the number of Zernike polynomials to use.Input: phi - Phase to be represented as a sum of Zernike polynomials that must be an nXn array (square) (optional) M - Number of Zernike polynomials to use (Default = 12)Output: a - Zernike coefficients (a_i's) as a vector Note: zernfun.m is required for use with this file. It is available here: http://www.mathworks.com/matlabcentral/fileexchange/7687

Requirements: No special requirements

Platforms: Matlab

Keyword: Array, Coefficients, Input, Number, Optional, Phase, Represented, Required, Square

Users rating: 0/10

License: Shareware

Size: 10 KB

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ZERNIKE POLYNOMIAL COEFFICIENTS FOR A GIVEN WAVEFRONT USING MATRIX INVERSION IN MATLAB RELATED

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