算法

Experimental results show that the 3D SPEZBC algorithm has the same rate-distortion performances of three-dimensional embedded zero block coding (3D EZBC) algorithm, obviously outperforms three-dimensional set partitioned embedded block (3D SPECK) algorithm, three-dimensional set partitioning in hierarchical trees(3D SPIHT) algorithm and (AT-3D SPIHT) algorithm, and is slightly better than JPEG2000 multi-component (JPEG2000-MC) algorithm at different bit rate in the compression performances.

实验结果表明，3D SPEZBC算法具有与三维嵌入式零块编码(3D EZBC)算法相同的压缩编码性能，在各比特率下编码性能均明显优于三维集合分裂嵌入式块编码(3D SPECK)、三维等级树集合分裂(3D SPIHT)和非对称三维等级树集合分裂(AT-3D SPIHT)算法，并且略好于多分量JPEG2000编码(JPEG2000-MC)算法。

After the vein pattern was segmented from the vein image by an improved NiBlack method,authors obtained the vein pattern skeleton by an improved conditional thinning algorithm.On the basis,the algorithm extracted seven modified moment invariants of the vein pattern skeleton as the input vector of SVM for the recognition of vein pattern.The experiments on a database including 500 samples has achieved a recognition rate of 95.5%,and it indicates the algorithm is effective.

算法在采用修正的NiBlack算法从原始图中分割出静脉纹路，然后采用改进的条件细化算法进行细化获得静脉骨架的基础上，提取静脉骨架的7个修正的几何不变矩作为支持向量机分类器的输入进行静脉分类识别，在有500个样本的数据库上进行实验，获得了95.5%的识别率，表明了算法的有效性。

By combining topological scan and definition of reasonable paths, the numbers of shortest path calculation is significantly reduced and improved versions of classical Dial's single-pass algorithm are presented. The efficiency of Dial's algorithm remains, while the definition of "reasonable paths" is improved.

算法将基于拓扑遍历的最短路算法与合理路径的选择相结合，有效减少了最短路的计算次数，提出了与经典Dial算法的单步法计算工作量相等的算法，改进了合理路径的定义并提高了计算精度。

a system of along-track mode sar based on the gps is established.by seeing the gps signal as a chirp,chirp scaling algorithm of this mode with large squint angle is investigated.chirp scaling algorithm is considered more efficient and widely applicable when the bistatic sar system is in side-look or small squint angle mode,but in large squint angle case,the errors caused by taylor expansion are so large that the algorithm could lose its precision.in such a case,an equivalent mono-static sar range mode which has fewer errors than taylor expansion with large squint angle is proposed to substitute the range history of bistatic sar.then bistatic sar images with large squint angles are gotten by common nonlinear cs algorithm.the effectivity of the method is verified by matlab simulation.

摘 要：建立了基于gps的顺轨sar系统模型，通过将gps信号等效为chirp信号，研究了在该模式下的大斜视角chirp scaling算法。在正侧视或小斜视情况下，cs算法具有较好的聚焦性能和广泛的适用性，但在斜视角较大的情况下，该算法将散焦而不能成像，因而提出了用等效的单基地距离模型来代替双基地距离历史的方法，解决了大斜视角情况下距离模型二阶近似误差较大的问题，并结合单基地非线性cs算法，实现了在大斜视角情况下的基于gps反射信号的双基地sar高精度成像，最后通过matlab仿真进行了验证。

The definition of the clustering and the algorithms in the clustering is introduced. We introduce the present situation of the clustering in time series, and now there are two kinds of clustering algorithm in time series, one is Adaptive Resonance Theory and their improvement algorithms; the other is Self-Organizing Feature Map and their improvement algorithms.

对聚类分析的概念作了简要介绍，讨论了现有的聚类分析中常用的方法以及时间序列的聚类分析的一些算法，当前聚类用于时间序列的符号化主要有两类，第一类是基于竞争学习模型的方法及其改进算法，第二类是自组织特征映射及其改进算法，本文对这两类算法分别作了探讨。

In this paper, after researching various arithmetic of real-time tracking the author probe into these correlative tracking arithmetic and provide a new real time tracking arithmetic based on template self- correlation. It is a useful arithmetic that proved effective and feasible by series examination.

本文通过对各种实时跟踪算法进行研究后，针对相关跟踪算法进行了探讨，提出了基于模板自相关的实时跟踪算法，实验证明算法是有效和可行的。

Finally the numerical results are presented to confirm the effectiveness of Gauss-Seidel parallelized with alternate tiling method,specifically compared with owner-computing and red-black Gauss-Seidel methods,and show that the new parallel iterative method has better parallel efficiency as well as scalability.

许多物理应用问题的求解都归结为求微分方程数值解，其核心是高效地求解线性方程组，GS(Gauss一Seidel)和SOR迭代算法以其高效性和实现简单的特性成为大型线性方程组求解的重要算法，并且常用作非定常迭代算法的高效预条件子，是许多应用软件的核心算法之一。在并行处理系统

Data structure is a professional and technical basis for classes, and he can help you learn computer analysis of the data processing structure characteristics, in order to choose the appropriate application of the logic of data structures, storage structures and the corresponding algorithms, and preliminary analysis of algorithms of time and space analysis techniques, But some algorithm data structure (linear scales, warehouse and accounts, string, etc.) will be some difficulty in understanding the data structure algorithms demonstration system is an effective way to resolve this difficult, and he gives a more intuitive understanding.

数据结构是一门专业技术基础课，他能帮助大家学会分析研究计算机加工的数据结构的特性，以便为应用涉及的数据选择适当的逻辑结构、存储结构及其相应的算法，并初步学会算法的时间分析和空间分析的技术，但数据结构中的一些算法（线性表、栈和队列、串等）在理解上会有些困难，数据结构算法演示系统正是解决这个困难的一种有效方法，他给人更直观的理解。

Furthermore, the relationship between the residual norm of the semi-refined approximate eigenpair and that of the approximate refined eigenpair is discussed. The semi-refined biorthogonalization Lanczos algorithm is given. We carry on some numerical experiments, and the results show that the new algorithm is more efficient than its conventional counterpart.

根据精化投影方法的思想，提出了半精化双正交Lanczos方法，建立了半精化特征对和精化特征对对应的残量范数之间的关系，给出了半精化双正交Lanczos算法，数值实验表明，该算法比双正交Lanczos算法和拟精化双正交Lanczos算法优越。

RSSI-based location is a hotspot in nowadays. This paper presents RSSI-based triangle and centroid location algorithm and trilateration algorithm, and analyses the average positioning error produced by this two methods. Simulation experiments prove that triangle and centroid location algorithm can obviously improve the location accuracy compared to trilateration algorithm.

基于RSSI的定位技术是现阶段研究的热点，本文提出了基于RSSI的三角形质心定位算法和三边测量法，并对两种算法所产生的平均定位误差进行仿真分析，仿真结果表明基于RSSI的三角形质心定位算法比基于RSSI的三边测量定位算法的定位精度有较大提高。

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。