矢量图的参数化重建系统——VACAD

本文重点探讨了如何将矢量图形进行参数化重建，即从只具备纯几何信息的矢量图中抽取元素间的拓扑信息，从而保证尺寸变动时保持拓扑关系不变，并能对多视图进行同步处理。这一方法的最大优点是用户作图时不受约束，因为系统只处理最终图形。另外，该思想并不局限于Ａｕｔｏ ＣＡＤ环境上，可方便地推广到其它二维绘图系统中。     

SDH中泊松分布下误块率与误码率的关系分析

本文较详细地介绍了ＳＤＨ中的ＢＩＰ误码校验方式，推导了泊松分布下，ＢＩＰ误块率与误码率的一般关系式，给出了ＳＤＨ中几种典型的误块率与误码率的关系曲线，并做了计算机模拟验证     

VSP旅行时反演应用于VSP—CDP转换

非零偏移距垂直地震剖面(VSP)模型的制作是非零偏移距VSP资料处理的关键环节之一,是VSP-CDP转换的基础。本文试用旅行时反演修正非零偏移距VSP的模型,以加速模型的制作过程,提高非零偏移距VSP的处理速度。用合成VSP资料试算表明:旅行时的随机误差对模型的制作影响不大;只要能较准确地确定界面位置,用旅行时反演修改制作非零偏移VSP模型是可行的。本文还探讨了初始模型的不同选择方法,并将旅行时反演用于实际VSP资料的处理。结果表明,大大地节省了非零偏移距VSP资料的处理时间。     

Learning-based dynamic coupling of discrete and continuous trackers

We present a data-driven dynamic coupling between discrete and continuous methods for tracking objects of high dofs, which overcomes the limitations of previous techniques. In our approach, two trackers work in parallel, and the coupling between them is based on the tracking error. We use a model-based continuous method to achieve accurate results and, in cases of failure, we re-initialize the model using our discrete tracker. This method maintains the accuracy of a more tightly coupled system, while increasing its efficiency. At any given frame, our discrete tracker uses the current and several previous frames to search into a database for the best matching solution. For improved robustness, object configuration sequences, rather than single configurations, are stored in the database. We apply our framework to the problem of 3D hand tracking from image sequences and the discrimination between fingerspelling and continuous signs in American Sign Language.     

应用线性相关分析方法探讨国土卫片几何畸变纠正的精度

我国卫星影像具有空间分辫率高，比例尺适中的特点。由于国土片是全.景成像比例尺变化大，用它来编绘专业地图，给精度衡蚤带来很大困难，需要对国土片进行几何校正。本文试图用线性相关分析方法，分析经过AR月尧卜n图像处理系统刘正的国土片几何精度。以便为分析专题图精度提供依据，同时也为分析遥感影像几何精度介绍一种方法。     

迫零对Turbo码的性能影响

从距离谱的角度对迫零在Turbo码中的作用进行了理论分析。通过仿真，研究了迫零对Turbo码性能的影响。仿真结果表明，Turbo码编码器迫零处理有助于改善Turbo码的性能。     

Two-tier architecture for unconstrained handwritten character recognition

In this paper, we propose an approach that combines the unsupervised and supervised learning techniques for unconstrained handwritten numeral recognition. This approach uses the Kohonen self-organizing neural network for data classification in the first stage and the learning vector quantization (LVQ) model in the second stage to improve classification accuracy. The combined architecture performs better than the Kohonen self-organizing map alone. In the proposed approach, the collection of centroids at different phases of training plays a vital role in the performance of the recognition system. Four experiments have been conducted and experimental results show that the collection of centroids in the middle of the training gives high performance in terms of speed and accuracy. The systems developed also resolve the confusion between handwritten numerals.     

CDMA时变色散信道的两级盲辨识算法

本文通过对时变信道的扩展函数在时频域进行正则采样，得到了CDMA时变系统的离散正则模型。针对该模型提出了一种具有较低运算量的两级盲辨识算法。为避免两级算法产生的误差传播效应，文章将理想SIMO模型等效为加性噪声模型来处理。与基展开模型方法相比，该算法具有不需利用观测数据的高阶统计量估计展开基频率的优点。文章通过仿真验证了该算法是可行的。     

The smooth fractionator

A modification of the general fractionator sampling technique called the smooth fractionator is presented. It may be used in almost every situation in which sampling is performed from distinct items that are uniquely defined, often they are physically separated items or clusters like pieces, blocks, slabs, sections, etc. To each item is associated a ‘guesstimate’ or an associated variable with a more‐or‐less close – and possibly biased ? relationship to the content of the item. The smooth fractionator is systematic sampling among the items arranged according to the guesstimates in a unique, symmetric sequence with one peak and minimal jumps. The smooth fractionator is both very simple to implement and so efficient that it should probably always be used unless the natural sequence of the sampling items is equally smooth. So far, there is no theory for the prediction of the efficiency of smooth fractionator designs in general, and their properties are therefore illustrated with a range of real and simulated examples. At the cost of a slightly more elaborate sampling scheme, it is, however, always possible to obtain an unbiased estimate of the real precision and of some of the variance components. The only real practical problem for always obtaining a high precision with the smooth fractionator is specimen inhomogeneity, but that is detectable at almost no extra cost. With careful designs and for sample sizes of about 10, the sampling variation for the primary, smooth fractionator sampling step may in practice often be small enough to be ignored.     

微分代数方程的一类并行算法

本文提出求解微分代数方程的一类并行算法,进行误差估计。对于一个模型问题进行稳定性分析,画出稳定区域。计算实例表明算法是有效的。