在算法上

The study of the influence of infrared background radiation on temperaturemeasurement is presented based on Monte-Carlo method.

提出了基于Monte-Carlo法的红外背景辐射对测温影响的研究方法，并在算法上得到实现。

In order to be suited for the trend, the algorithms of microprocessor based protections must be adjusted.

要适应这一趋势，微机保护在算法上要不断地加以改进。

The main results of this research are as follows:(1) A parallel algorithm for solving dense matrix linear equations on distributed-memory multi-computer is presented. Convergent velocity of this algorithm is better than parallel Jacobi method"s, and parallelism is better than Gauss-Seidel method"s. According to theoretical analysis, convergent conditions are given. Moreover numerical experiments indicate that results agree with theory.

主要完成了如下研究工作：(1)提出了一种求解系数矩阵为稠密矩阵的线性方程组的适合于MIMD分布式存储的并行迭代算法，该算法设计上兼取了Jacobi算法并行性好的优点和Gauss-Seidel算法收敛速度快的长处，并且在理论上给出了该算法成立的收敛性条件，并通过数值计算验证了此算法结果与理论相符合。

Many researchers have devoted their work to the development of modal analysis extraction techniques in order to obtain more reliable identification of the modal parameters. There are many damping identification methods, but each one has different merit and defect. In order to find which one is the most reliable method with respect to certain characteristics, this thesis focus on how to identify structure's damping in time domain. The following works have been done in this thesis: 1. Investigate four modal analysis methods——the LSCE Method, the Ibrahim Time Domain Method, the Time Domain Collectivity Modal Parameter Method, the Rational Fraction Polynomial Method and improve on the ITD Method in arithmetic.

本文主要做了如下工作： 1、集中研究了四种常用的模态识别方法，即最小二乘复指数法、Ibrahim时域法、时域总体模态参数辨识法及有理分式多项式法，并对ITD法在算法上进行了一定的改进； 2、建立结构动力模型，利用这四种方法在具体条件下识别结构的阻尼，并绘制相应的图； 3、讨论不同的情况下，不同的识别方法对阻尼识别精确性的影响； 4、基于业已明确的阻尼识别的精确性，根据研究的需要，指出在实际的识别过程中，如何选择最佳的识别方法以及识别过程中需要注意的问题； 5、选择最为精确的阻尼识别方法，以导师李书进教授在日本京都大学防灾研究所强震反应实验室所做的一足尺木制结构房屋的动力测试实验为实测模型，识别其阻尼； 6、在本文的最后，尽作者所知，提出了一些需要改进的地方，并对未来的研究方向给出了作者的建议。

Based on the model, a program is put forward in microcomputer, which is achieved by the substructural model synthesis method.

在算法上，采用了节省内存，计算效率高的动态子结构模态综合法，实现了本文提出的桥墩空间动力分析模型的微机计算，为桥墩振动分析、地震力估算与病害桥墩的状态模拟提供了基础。

The joint decision direction least mean square and constant modular algorithm is selected. The structure of the equalizer contains four quadrature finite impulse response filters.

本文主要介绍了基于FPGA 的无线信道盲均衡器的设计与实现，在算法上选择了比较成熟的DDLMS 和CMA 相结合的算法，结构上采用四路正交FIR 滤波器模型。

MFC Library has been utilized for design and storage contours,bisectors,innermost points and offseting segments based on OOP,realezed consistency on algorithm and unification on data structure under simple-connected and multi-connected condition.

利用MFC类库的优势，采用面向对象的方法设计和存储相关轮廓段、平分线、内点以及偏置线等，实现了单连通域和多连通域在算法上的一致性和在存储结构上的统一性。

After comparing their accuracy,two-factor split window algorithm is selected for the retrieval.

因此，在算法上，我们将选择计算过程相对简便但反演精度又很高的两因素分裂窗算法。

The correlation analysis and identification algorithm is used widely in engineering. The basic principle of the algorithm is discussed first. Then the Fibonacci sequence is introduced into the algorithm,and the variable step method based on the modified Fibonacci sequence is used to optimize the model parameters.

相关分析辨识算法在工程上是一种常用的参数辨识算法，文章在介绍该算法基本原理的基础上，将Fibonacci数列引入该算法，并在算法中采用基于修正的Fibonacci数列的变步长方法寻优模型参数。

Then the Fibonacci sequence is introduced into the algorithm,and the variable step method based on the modified Fibonacci sequence is used to optimize the model parameters.

相关分析辨识算法在工程上是一种常用的参数辨识算法，文章在介绍该算法基本原理的基础上，将Fibonacci数列引入该算法，并在算法中采用基于修正的Fibonacci数列的变步长方法寻优模型参数。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。