在算法上

To improve the robust characteristic s , the paper makes use of nonlinear constraint method is used to optimize the weight vector of adaptive pattern. The final solution of weight vector is different from alterable diagonal loading and the unknown parameter in optimum optimal solution can be obtained easily and accurately.

为了提高算法的稳健性，本文采用非线性约束方法对进行优化，的优化解在形式上不同于可变对角加载类算法，且优化解中的待定参数容易准确求出。

TCP rate control algorithms based on window and its variant algorithms are widely used in Internet as a standard. The complex applications need to QoS is difficult to meet, completely depending on policies and algorithms in the terminal.

基于窗口的TCP速率控制及其改进算法，虽然已作为标准在Internet上广泛使用，但是完全依赖于终端系统的策略和算法是很难满足复杂的应用对QoS的需要。

This paper analyze the advantages and disadvantages of the existing Ad Hoc network routing algorithms, and chose a compromise ideas of algorithms to make a thorough research from the perspective of complex adaptive systems theory, and also use the perspective of network dynamics: the network is not only determined by the topological but also the dynamics flow of information or of traffic.

本文分析了Ad Hoc网络现有的几种分簇路由算法的优缺点，权衡利弊，选择了具有折衷思想的按需加权路由算法，从复杂自适应系统理论角度进行了进一步的研究，应用网络动力学的观点：网络不仅由拓扑确定，而且由发生在连接上的信息流或交通流的动力学确定。

This text expatiated the control of the system requests, analyzing the work principle of the system with work process, gave each parts of hardwares design process and its related electric circuits, software design process, control the calculate way realizes flow chart, emphasized to explain the calculate way of PID in the single a work for on boardly realizing method, at the same time expatiating system characteristics, experiment proof this is a kind of economic practical forerunner control technique.

本文阐述了系统的控制要求，分析了系统的工作原理和工作过程，给出了各部分硬件设计过程及其相关电路，软件设计过程，控制算法实现流程图，着重说明了PID算法在单片机上的实现方法，同时阐述了系统的工作特点，实验证明这是一种经济实用的先进控制技术。

The algorithm through the circumrotate, deformation, cutting to the linear symbols to solve distortion Phenomenon, not only reached very good results in the visual, but also improve the efficiency of the filling algorithm.

该算法通过对线状符号进行旋转、变形、裁剪等步骤来解决一些失真现象，不仅在视觉上达到了很好的效果，而且还提高了算法的填充效率。

This paper takes advantage of the discrimination of attributes suggested from extended discriminable matrix.The improved ROUSTIDA extends the ability of packing missing data,and has a new ability to eliminate noise data.It also reduces running time.All that has been proved in experiments.

利用了可扩充辨识所反映的对象间的属性差异信息，对遗失属性进行填充，从而使改进后的ROUSTIDA算法的填充能力得到了很大的改善，同时还具备了初步排除噪声数据的能力，在性能上也有了很大的提高，实验表明改进的算法具有很好的实用价值。

Especially, applying the estimation of map-aiding matching to modify Kalman Filter, the precision of error in the road is obtained in the field of road, so it can satisfy demand of VMS.(3) For the moving vehicles in a city, DGPS is so often affected by obstructing that DGPS signals are intermitted. The paper establishs mathematical model of DGPS/DR.

本文建立了组合导航系统的数学模型，提出了对观测量进行误差补偿的迭代扩展卡尔曼滤波算法，通过该算法将DGPS和DR系统集成起来，进行综合数据处理，从而可以连续不断地为行驶在街道上的车辆提供精确的定位服务。

This paper bases on the former documents which related to the distance in HMM (we also proved Juang and Rabine's intuitionistic discussion strictly ), and study the distance in HMM from two aspects:the one is to find the more rapid and effective approximate algorithm, the other is to introduce a new and more applied distance.

针对J-R距离在理论上很有意义，但实际上难以计算且结果具有不确定性的缺点，利用文献[11]，得到了近似计算离散HMM和具有混合高斯观测密度的连续HMM距离的一种快速有效的算法，该算法用矩阵形式来表达，便于用MATLAB进行计算。

The major achievement of this paper is: Based on characteristics of the traffic data distribution, execute pattern recognition operations on traffic condition on two dimensions by clustering, then use BP neural network to describe and forecast traffic flow aiming at each pattern. Making use of classic flow-occupancy inverse "V" model, implement polynomial fitting using least-squares algorithm and statistics method on flow curves to detect outliers which are proved to be not accord with practice through the actual implement, then use the moving average model to recorrect the outliers and absent. Make correlation analysis on muti-direction flow queues of the intersection and ones of upriver intersections, choose flow queue with high correlation as assistant one to improve the error tolerance of the prediction system, at the same time we can use the method to give an estimation of flow in intersection with out sensors. We design and implement an SOA(Service-Oriented Architecture)-based UTDD(urban traffic data mining development) with high expansibility and performance, which implement unified management and call of the data-mining application though defining a XML-based description of data-mining process and a common interface to call data-mining process, finally we build traffic flow prediction application model on UTDD.

根据交通流量数据分布的特征，提出基于k-means的二次聚类方法，对交通流量在流量大小和时间上进行模式划分，进而对各个交通流模式进行基于BP神经网络的描述和预测，从而提高模型对流量预测的精度； 2）根据流量/时间占有率倒&V&字形曲线分布模型，提出基于最小二乘法的三次多项式曲线拟合和统计方法的异常检测方法，实际应用表明该方法能够有效识别异常数据，然后根据移动平均算法对异常数据进行修正； 3）基于序列相关性分析，分别对预测方向的交通流量数据序列、上游路口相关序列以及预测路口其它各个方向上的交通流量序列进行分析，选择相似性流量序列，作为辅助序列提供其他没有检测器路口的流量估计； 4）设计和实现了基于SOA（Service-Oriented Achitecture）的高性能、可扩展的智能交通数据挖掘系统UTDD，该系统通过定义基于XML的数据挖掘过程描述和通用的过程模型接口，实现数据挖掘应用的统一管理和调用，最后在UTDD上建立了基于路口流量预测的应用模型。

After that, the thesis will introduce an improved EZW algorithm based on scalariform quantization. The new algorithm can fix some redundancy treating in reorganizing the symbol for wavelet coefficients. Finally, we will draw some conclusion after some experiments by comparing the two methods.

同时，从阶梯量化后系数符号的变化规律，提出进一步优化算法，提高图像的压缩比；最后利用对比实验的方法，先对比阶梯量化与传统EZW在性能上的差别，然后再比较新的改进算法是否进一步提高了压缩比。

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。