在算法上

Based on a review of literatures, this paper described methods for performing spectral decomposition.

在对目前常用的几种谱分解算法介绍的基础上，结合其中一些方法的谱分解结果，对各种算法的时间、频率分辨率进行了对比分析，指出了各类算法的局限性，并针对不同用途指出了适用的谱分解方法。

Experiments show that this method performances a faster and more stable convergence than dwMDS algorithm which is based on SMACOF algorithm.

实验表明该迭代算法收敛快速且稳定，比基于SMACOF算法的dwMDS算法在定位精度上有明显的提高。

The new approach improves the step length and the convergence is analyzed. Numerical examples are given to illustrate the effectiveness of the proposed method.

在此基础上提出了求解只带有等式约束的凸二次规划问题的新算法，该算法改进了搜索步长，分析了收敛性，通过数值算例验证了算法的有效性和优越性。

Moreover, we give some dual properties of these problems, and on this basis, we present a dual algorithm for solving the nonconvex conic model trust-region subproblem.

论文分析了这些问题的对偶性质，在此基础上，通过对偶提出了求解锥模型信赖域子问题的算法，同时证明了算法的全局收敛性以及局部Q-超线性收敛性，并给出了一些数值算例以说明算法的有效性。

Quantumbehaved particle swarm optimization developed on the basis of classical particle swarm optimization is a method with better convergence and stability.

量子粒子群优化算法是在经典的微粒群算法的基础上所提出的一种有较高收敛性和稳定性的进化算法。

On the other hand,un-der appropriate boundary conditions,multisymplectic methods also conserve thethe sum of symplectic form on discrete space,and this shows that multisymplec-tie methods is the gneralization of symplectic methods and describe the systemmore essentially.

另一方面，在适当的边界条件下，多辛算法也保持离散空间上的辛形式和，因而多辛算法是辛算法的发展，它更深刻地反映了系统的本质。

After analyzing disadvantages of artificial fish-swarm algorithm and particle swarm optimization algorithm, this paper presents a hybrid algorithm. In the algorithm, AFSA and PSO are regarded as two independent swarms to search in the synchronical way.

在分析人工鱼群算法、粒子群算法存在不足的基础上，提出一种将PSO群与AFSA群作为两个独立进化的群，同时进行搜索的算法。

Correlation and signal-to-noise ratio of the space sources can affect the resolution of DOA estimation of subspace algorithms. Using this relation, the algorithm changes the correlation and SNR of the equivalent sources by processing the Toeplitz matrix based on the Toep-MUSIC algorithm, so that the resolution of DOA estimation can be improved.

改进算法利用信源间相关性和信噪比对子空间类DOA估计算法分辨力的影响，在Toep-MUSIC算法基础上，通过对Toeplitz重构矩阵的处理，改变了等效信源的相关系数和信噪比，从而使DOA估计分辨力得到提高。

The method will eventually converge to a near optimal solution and is relatively unaffected by the outliers.Ⅲ. Trilinear geometry estimation based on messy genetic algorithm: similar to the method of epipolar geometry estimation. Experiments show that it is more robust and precise than other typical methods, but takes more time to get the final result.Ⅳ.

ii基于混合遗传算法的对极几何估计：以最小的数据子集来构造染色体，利用染色体在某一位置上的基因冗余来提高遗传算法的选择能力，尽管这样会增加运算的复杂度，但却更有可能寻找到全局最优解，并且运算精度略高于中的算法。

The phylogeny and applied prospect of MES are summarized in the paper. The principle of this system is analyzed from the point of view of acoustics. The surveying and filtering technology of auxiliary parameters, sounding data and the theory of image form, backscatter strength data processing, are researched deeply in the paper. The optimal model of velocity of sound is given. For sound ray tracing, some methods of correction of sound ray curve are developed. At the same time, an ideal model of sound ray tracing is proved and given. The GPS technology is applied for the determination of tide, attitude of vessel. Moreover, some methods are given. As an important topic, the systematic error is discussed in the paper. Some filtering methods are researched in this paper. Based on the current methods of image processing, the procedure and methods are tested and given that adapt to sonar image processing.

本文研究的工作是在总结多波束声纳测深系统的发展历史、应用前景的基础上，从声学角度分析了多波束系统的工作原理；对多波束辅助参数的测定和滤波方法、测深数据的滤波方法、多波束声纳图像的形成机理、图像处理以及最终应用等作了比较深入的研究；得出了适合于多波束精密深度计算的最优声速模型和声线改正模型；提出了 GPS 载波相位定位技术用于多波束辅助参数测量的思想、算法，改善了多波束系统的作业模式；系统地分析了深度数据的误差来源和类型，首次将系统误差作为影响测深精度的主要因素给以研究，并给出了削弱系统误差的方法，提高了深度数据的质量；对多波束声纳图像的形成、处理方法进行了细致的研究，给出了适合多波束图像处理的算法和流程，并从理论和实践上对声纳图像的应用进行了比较全面的研究。

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。