The phase distribution of DOE is optimization result of iterative phase retrieval algorithm.
DOE的相位分布由数值迭代相位恢复算法优化得到。
In this paper, the principle of phase retrieval method with hardware and software realization is introduced.
介绍了相位恢复测量系统的软硬件实现原理。
Phase retrieval refers to the use of direct measurement of intensity distribution to restore the phase and then reconstruct the wave function.
相位恢复是指利用直接测量得到的强度分布恢复相位从而重建波函数。
On the assumption of wavefront prolongation, a new optical phase retrieval algorithm by conventional lateral shear interferometer with wavelet transform is introduced.
在常规横向剪切干涉仪的基础上，利用波前周期延拓的假设，基于小波变换的方法实现了波前重构。
The phase retrieval problem from single intensity measurement was also discussed in terms of the properties of analytical function or under consideration of sampling theorem.
由单强度测量来恢复相位问题，也有过讨论，可以利用解析函数特有性质或应用取样定理来实现相位恢复。
This method succeeds in harmonic retrieval in colored non Gaussian noise, especially when the noise is symmetrically distributed or there exist quadratic phase coupled cosinusoids.
本文方法克服了以往的困难，成功地解决了对称分布非高斯噪声背景下和谐波信号中存在二次相位耦合时的谐波恢复问题。
Under the assumptions of geometric optics and thin phase screen the retrieval algorithms of amplitude in GPS/LEO occultation technique were listed in this paper, respectively.
本文在几何光学和薄相位屏的假设下，分别介绍GPS/LEO无线电掩星反演地球大气技术中振幅反演的计算方法。
In retrieval phase, there were directed forgetting effects both of the item memory and source memory, and the effects were bigger in source memory phases than that in item memory phases.
在提取阶段，项目记忆与来源记忆都存在定向遗忘效应，来源记忆的定向遗忘效应要大于项目记忆的该效应。
Source memory retrieval phase: Subjects were instructed to judge among the new words, the old red words and the old blue words.
第三阶段为来源记忆提取阶段，要求被试用三键区分新词、红色旧词和蓝色旧词。
Versatile applications beyond phase measurement of the apparatus are demonstrated, including piezoelectric coefficient determination and physical thickness retrieval.
该系统除了可以测试薄膜的位相特性外，还可以用于确定压电薄膜的压电系数，薄膜物理厚度反演等领域。
An appropriate filter function is the key to successful wavefront retrieval for the wavefront sensor based on pupil phase diversity.
选择合适的滤波函数是瞳面相位差波前传感器成功实现的关键。
An appropriate filter function is the key to successful wavefront retrieval for the wavefront sensor based on pupil phase diversity.
选择合适的滤波函数是瞳面相位差波前传感器成功实现的关键。
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