PCG共轭梯度最小二乘相位解包裹-matlab（可直接运行）

本文主要是介绍PCG共轭梯度最小二乘相位解包裹-matlab（可直接运行），希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！

phase_unwrap.m

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% 根据Ghiglia和Romero(1994)提出的方法，基于加权和非加权最小二乘法进行相位解包裹
% 链接：https://doi.org/10.1364/JOSAA.11.000107
% 输入参数：
%   * psi: 包裹的相位图，范围从-pi到pi
%   * weight: 相位的权重（可选，默认为全1）
% 输出参数：
%   * phi: 解包裹后的相位图，通过加权（或非加权）最小二乘相位解包裹得到
% 作者：Muhammad F. Kasim (University of Oxford, 2016)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%function phi = phase_unwrap(psi, weight)if (nargin < 2) % 非加权相位解包裹% 计算包裹值的一阶差分，并包裹差分值dx = [zeros([size(psi,1),1]), wrapToPi(diff(psi, 1, 2)), zeros([size(psi,1),1])];dy = [zeros([1,size(psi,2)]); wrapToPi(diff(psi, 1, 1)); zeros([1,size(psi,2)])];rho = diff(dx, 1, 2) + diff(dy, 1, 1);% 通过求解泊松方程来得到结果phi

这篇关于PCG共轭梯度最小二乘相位解包裹-matlab（可直接运行）的文章就介绍到这儿，希望我们推荐的文章对编程师们有所帮助！

---