算法的

After summarizing BSS algorithm of convolved mixture and its applications, the paper applies the improved PSO algorithm to convolved mixture BSS and proposes the PSO algorithm based on simulated annealing method. The paper also does some experiments of BSS based on PSO algorithm with grads acceleration and analyzes the simulation results.

4在总结卷积混合的盲源分离算法及其应用之后，将改进型粒子群算法应用到卷积混合的盲源分离中，给出了基于模拟退火思想的粒子群算法和基于带有梯度加速的粒子群算法的盲源分离的仿真实验，并对仿真结果作了分析。

The third is how the emission amount is foreknown under the neural network and Genetic Algorithms. The data management of Gas and prediction system will be discussed.

论文在简单介绍神经网络和遗传算法的基本原理后，提出了神经网络和遗传算法的瓦斯涌出量预测方法，将神经网络和遗传算法应用于瓦斯涌出量预测问题。

On the one hand, de noising of instantaneous parameters is optimized by a wavelet filter, which can improve the recognition ability under the low SNR; on the other hand, the existing three feature parameters σ,σ(subscript ∞) and σ are used, and three new parameters Ra, Rp and Rf are proposed based on the existing feature parameters, which can simplify the process and improve the recognition ability.

该算法一方面提出采用小波滤波器对信号的瞬时信息进行消噪处理，提高了调制识别算法在低信噪比下的识别能力；另一方面利用已有算法的3个特征参数σ、σ、和σ以及在已有算法基础上改进的3个新的特征参数Ra、Rp和Rf，简化了识别过程，改善了低信噪比下的识别效果。

Combining the advantages of fixed search pattern and spatial correlation search pattern,the algorithm employs the high search accuracy of DS and the high search speed of ARPS.It performs zero motion prejudging for immobile macroblocks between the two adjacent frames to reduce the computational complexity,and employs the spatial correlation of motion vectors to improve the quality of predicted motion vectors.

该算法利用DS算法搜索精度高和ARPS算法搜索速度快的特点，综合固定模式搜索和空间相关搜索两方面的优点，对于相邻两帧图像中的不变宏块采用零运动预先判断以减少算法的计算量，并利用运动矢量的空间一致性提高预测运动矢量的质量。

The direct control algorithm and presetting control algorithm are proposed.

提出了直接控制和预置控制两种算法，分析了直接控制算法存在的问题，着重介绍了预置控制算法的优点和可行性。

The direct control algorithm and presetting control algorithm are proposed. The problem existing in direct control algorithm is analyzed, and the excellence and feasibility of presetting control algorithm are emphasized.

提出了直接控制和预置控制两种算法，分析了直接控制算法存在的问题，着重介绍了预置控制算法的优点和可行性。

Then a BGPEOpt(BGP Egress Optimization Algorithm) algorithm is proposed to reduce the execution time of the typical algorithm by leveraging the .characteristics of cut link in the topology graph to reduce the frequency of recomputing traffic demand. Further more, mediate results are used in the iterative process to reduce the time of computing the IGP shortest distances from a source node to other nodes. Experimental results indicate that the running time of BGPEOpt reduced 7%~30% with the similar link utilization comparing to that of typical algorithms.

在此基础上，提出了静态阶段的BGP出口选择优化算法BGPEOpt(BGP Egress Optimization Algorithm)，BGPEOpt算法利用网络拓扑结构中割边的特殊性，减少流量矩阵重新计算的频率；同时利用算法在迭代过程中的中间结果，减少重新计算从一个源节点到其它节点最短路径的时间，从而提高了算法的时间性能。

The thesis compares and analyses running rapidity, triangulating result, overlapping and hole of mesh and other performance index. The experiment results prove that the new arithmetic has some application value.

比较和分析了局部Delaunay 法、生长三角剖分算法和改进算法的运行速度、剖分效果、网格重叠和空洞等性能指标，证明改进算法有一定的应用价值。

Considering the in-matching uncertainties,we developed an explicit back-stepping design algorithm and applied to the design of high-order sliding mode controller under in-matching conditions.

此外还建立了基于非线性系统相对度的学习控制以及基于遗传算法的模糊控制等算法；并采用非线性微分几何控制等思想，给出了鲁棒与自适应控制器设计方法；最后将有关算法具体应用于移动机器人系统，仿真和实时控制实验结果证明了有效性。

After basic theory and definings of Voronoi diagram and also parameterized bisectors have been analyzed,two main algorithms of simple-connected at present have been compared;adjust the algorithm of initialization and data construct so as to obtain the algorithm could used in practice; extand the idea of wavefront-propagation algorithm to computing multi-connected voronoi diagram.

通过对Voronoi图的基本理论、定义和参数化平分线公式的分析，以及对两种主要单连通域Voronoi图算法的比较，作者改进了初始化算法和数据结构，得到便于工程应用的单连通域Voronoi算法，并将波阵面传播的思想扩展应用到多连通域的Voronoi图计算，形成新的多连通域问题算法。

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。