We theoretically propose a new method for generating intense isolated attosecond pulses during high-order harmonic generation (HHG) process by accurately controlling electron motion with a two-color laser field, which consists of an 800-nm, 4-fs elliptically polarized laser field and a 1400-nm, ~43-fs linearly polarized laser field. With this method, the supercontinua with a spectral width above 200 eV are obtained, which can support a ~15-as isolated pulse after phase compensation. Classical an

在不可约张量法基础上,利用二次量子化方法计算了原子的双光子激发截面.作为一个实例,计算了Hg原子的双光子激发截面.理论结果与实验结果在数量级上有较好的符合.

采用matlab工具箱得到三维回波数据，在进行空间角估计以及匹配

本文研究了由浅水波运动引起的改进的耦合双组分Camassa-Holm动力系统的动力学行为。 通过使用熟练定义的特征和一组新引入的变量，原始系统将转换为拉格朗日半线性系统，在该系统中，关联能量作为附加变量引入，从而获得一个恰当定位的初值问题，从而简化了系统的设计工作。研究波浪破碎的行为。 建立了该系统的解作为破波后的全局耗散解继续进行的方法，这为更好地理解破波前后的不可避免现象提供了有趣而有用的结果。

Two Algorithms for Weight Problems

首先，对PDF417条码的编码模式及编码原理进行了较详细的论述，简要介绍了条形码的错误检测和纠正方法；引入了对称DES加密技术与非对称RSA加密技术，对二维条形码进行信息加密的分析与设计，从而生成加密的二维条形码。 其次，对采集到的加密条形码图像进行图像预处理。由于采集的条形码图像，存在着图像倾斜和边缘模糊问题，

We present the generation of the nanosecond cylindrical vector beams (CVBs) in a two-mode fiber (TMF) and its applications of stimulated Raman scattering. The nanosecond (1064 nm, 10 ns, 10 Hz) CVBs have been directly produced with mode conversion efficiency of ～18 dB (98.4%) via an acoustically ind

A method of estimating the relative clocks between two spaceborne global positioning.system (GPS) receivers based on the single-difference (SD) observations is investigated in.this paper. Especially, the advantages of introducing a double-difference (DD) solution.constraint, including the orbits and ambiguities, are discussed with the simulated data.and the real data of Gravity Recovery And Climate Experiment (GRACE) satellites. The.theoretical accuracy analysis shows that the accuracy of the re

Estimating ellipticity of a fiber core using two types of interferometry

This paper proposes TW-k-means, an automated two-level variable weighting clustering algorithm for multiview data, which can simultaneously compute weights for views and individual variables. In this algorithm, a view weight is assigned to each view to identify the compactness of the view and a variable weight is also assigned to each variable in the view to identify the importance of the variable. Both view weights and variable weights are used in the distance function to determine the clusters