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这是准相位匹配研究内容的一次拓展。This is an extension for the research of QPM.

并从耦合波方程出发,说明了准相位匹配技术的原理。And the theory of QPM was explained on the base of coupling wave equation.

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它还为准相位匹配技术新的实现方法奠定了理论基础。The method also establishes the theoretical foundation for realizing the new method of QPM.

考虑到成本核算和可操作性,认为该分子标记辅助选择技术,应用于育种实践是非常经济有效的。In view of the cost and practicability, the molecular marker selection technique was thought to be effective in breeding for QPM.

应用调制函数的概念描述了引入相移后的QPM光栅,得到一个比较简单的计算转换效率的解析表达式。A simple analytic expression of conversion efficiency was obtained by using a modulation function to describe an aperiodic QPM gratings.

不仅对传统准相位匹配实现方式的理论进行了分析和研究,而且提出了几种新型准相位匹配的实现方式。Not only are the traditional QPM theory and approaches analyzed, but also some new ideas and their promising applications are researched in details.

而通过外加电场极化的方法,获得非线性晶体铁电畴反转光栅,是目前普遍采用,且被证明非常有效的方法。Electrical polarizing method is the most easy and effective way, which can get ferroelectric domain on non-linear crystal, in all methods of QPM technology.

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对于已经知道盒型尺寸的用户,QPM提供了一个输入窗口可以输入盒型尺寸,从而可以很快获得结果。For users that already know their box dimensions, QPM offers an input window where the user enters box dimensions, making it even faster to obtain a result.

应用于准相位匹配技术中的周期极化晶体,通过周期反转非线性晶体的电极化率,补偿非线性光学中三波互作用的相位失配。The periodically poled crystal used in QPM can compensate the phase mismatch in the three-wave interaction by reversing the electric susceptibility periodically.

数值计算了引入两个相移域和四个相移域的QPM光栅,并解释了引入相移后带宽加宽的机理。The QPM gratings with two phase shifting domains and four phase shifting domains were numerically calculated, and the mechanism of the bandwidth enhancement was explained.

论研究从一维拓展到二维,建立了二维光学超晶格中的耦合波标量方程,探讨了非共线准相位匹配过程的基本特性。In Chapter 2, we extended the QPM theory from one-dimensional to two-dimensional case, scalar wave coupling functions is introduced to discuss QPM process in two-dimension OSL.

当使用者对于检索结果标记相关与不相关时,系统将会移动其查询点朝向正向相关的特徵向量并远离负向相关的特徵向量。When the user marks the relevant and non-relevant images on the retrieval images, the QPM moves the succeeding queries away from the negative examples and proceeds towards the positive examples.