考虑变质量湍流影响的水平井流入动态分析

在水平井生产过程中,井筒内管流与地层渗流互相制约、互相影响、互为边界条件,从而构成了一个完整的水动力学体系。根据水平井生产时井筒内管流与油藏的相互作用关系,建立了水平井筒存在压力梯度的变质量湍流与地层渗流的耦合计算新方法。关于井筒内流的计算;应用了经典的k_εM湍流模型,关于地层的渗流计算,采用了有限元法。通过耦合模拟获得了井筒内湍流场流速分布及总压能损耗的规律,根据耦合模拟计算结果绘出了较为准确的水平井流入动态曲线。该计算方法为描述水平井流入动态、评价水平井产能、确定合理生产制度提供了可靠的手段.     

XAZ340-4GF反洗压滤机的研制与应用

介绍了XAZ340-4GF反洗压滤机的研制过程,介绍了该机型的结构\原理\工艺系统.并简要介绍了其工业应用情况。     

Image processing using cellular neural networks based on multi-valued and universal binary neurons

Multi-valued and universal binary neurons (MVN and UBN) are the neural processing elements with the complex-valued weights and high functionality. It is possible to implement an arbitrary mapping described by partially defined multiple-valued function on the single MVN. An arbitrary mapping described by partially defined or fully defined Boolean function, which can be non-threshold, may be implemented on the single UBN. The quickly converging learning algorithms exist for both types of neurons. Such features of the MVN and UBN may be used for solving the different problems. One of the most successful applications of the MVN and UBN is their usage as basic neurons in the Cellular Neural Networks (CNN). It opens the new effective opportunities in nonlinear image filtering and its applications to noise reduction, edge detection and solving of the super resolution problem. A number of experimental results are presented to illustrate the performance of the proposed algorithms.An erratum to this article can be found at     

数据增值业务在DVB中的实现

首先对DVB标准作了简单介绍，然后讨论了在数字电视系统中实现增值业务，最后给出了一个实例。     

观测值序列的粗差探测方法

基于小波分析和未确知滤波理论，研究了对观测序列中粗差进行探测和剔除的方法，并结合实例进行了分析和比较，表明这2种方法得到的探测结果基本一致，均具备较好的应用价值。此外，进一步分析了2种方法的优点和局限性，为实际应用提供了有用的参考。根据2种处理方法的特点，提出了粗差探测的综合探测方法。     

Highly oriented star-like patterns observed on GaSe epilayers grown on Si(111)

Epitaxial lamellar gallium selenide (GaSe) semiconductors have been grown on trench-patterned silicon (Si) substrates by molecular beam epitaxy. An intriguing star-like patterned morphology was identified by atomic force microscopy on these epilayers. This non-trivial feature can be correlated with the accumulation of stacking faults of two concurrent epitaxial domains around self-oriented triangular pits developed earlier on the Si(111) surface by the chemical etching. Crystallographic considerations show how the stars can be formed.     

Optimal and self‐tuning fusion Kalman filters for discrete‐time stochastic singular systems

Based on the optimal fusion estimation algorithm weighted by scalars in the linear minimum variance sense, a distributed optimal fusion Kalman filter weighted by scalars is presented for discrete‐time stochastic singular systems with multiple sensors and correlated noises. A cross‐covariance matrix of filtering errors between any two sensors is derived. When the noise statistical information is unknown, a distributed identification approach is presented based on correlation functions and the weighted average method. Further, a distributed self‐tuning fusion filter is given, which includes two stage fusions where the first‐stage fusion is used to identify the noise covariance and the second‐stage fusion is used to obtain the fusion state filter. A simulation verifies the effectiveness of the proposed algorithm. Copyright © 2008 John Wiley & Sons, Ltd.     

基于进化规划的自适应IIR滤波

针对基于梯度下降算法的自适应IIR滤波器（AIIRF）具有潜在的不稳定性和性能指标函数容易陷入局部极小而导致性能下降等问题，本文将进化规划用于AI－IRF的优化设计，不仅解决了AIIRF系统稳定性问题，而且有效地实现了滤波器性能指标函数的全局寻优和快速收敛，同时允许大动态范围的输入号。计算机仿真结果验证了基于进化规划算法的AIIRF的性能优于基于梯度算法的AIIRF，尤其对高阶、极点靠近单位圆的自适应IIR滤波器。     

红外目标精跟踪方法的研究

本文提出了一种直接把红外前视传感器的输出作为测量值来跟踪红外目标的扩展型卡尔曼滤波跟踪算法。在滤波处理时,设置可变的测量矩阵,其目的在于提高运算速度和抑制噪声干扰。通过具体的实例,对所提跟踪算法的特点和有效性进行了细致的分析。