基于CDBA的电流模式多功能滤波器

文章提出了一种由电流差分缓冲放大器（CDBA）实现的两种电流模式多功能双二次滤波器，该滤波器具有可实现多种滤波功能、能独立地调节ω0和Q、灵敏度较低等特点。     

基于地震道时频分析的地层结构解析原理和方法

 地震时频分析是通过对地震信号采用多种数学变换，实现从时频域角度对信号的局部特征进行分解，剖析信号细微特征所对应的地层结构。在应用地震时频分析技术过程中，人们对于这项技术能否真正有效地解决实际地质问题存在许多争论。本文从时频原理综合分析的角度出发，对地震道时频谱中各种频率特性参数和时频旋回直接转化成对地层结构逐级、分步的解析方法进行了较深入的探讨。研究认为时频分析原理不仅是对地震数据进行特殊数学变换，实现对信号的分解，而且充分利用了地层厚度的调谐效应及岩性调谐效应；时频谱与地质结构特征之间的良好响应关系为地震地质精细解释提供了直观的依据。     

多小波变换及其在信号滤波中的应用

多小波拥有对称性、正交性、有限支撑等这些信号处理中十分重要的特性,从而弥补了单小波的不足,具有更为广阔的应用前景.本文从滤波的角度,重点分析并设计了多小波预滤波与多小波分解系数处理方法.仿真表明多小波分析方法的优越性.     

Identification of Chaos Representations of Elastic Properties of Random Media Using Experimental Vibration Tests

This paper deals with the experimental identification of the probabilistic representation of a random field modelling the Young modulus of a nonhomogeneous isotropic elastic medium by experimental vibration tests. Experimental data are constituted of frequency response functions on a given frequency band and for a set of observed degrees of freedom on the boundary of specimens. The random field representation is based on the polynomial chaos decomposition. The coefficients of the polynomial chaos are identified setting an inverse problem and then in solving an optimization problem related to the maximum likelihood principle.     

基于模糊信息处理的中板轧机微机在线监测系统

中板轧机是中板厂最重要的生产设备，对其工况进行在线监测意义重大，各种传感器将轧机的工况信息传送给微机系统，微机系统将这些信息进行模糊处理，发出相关信息，指导系统安全，高效运行。     

考虑介质变形和长期导流能力的裂缝性气藏压裂产能模拟研究

在气藏开采过程中，由于孔隙压力的不断降低，使得介质变形而导致渗透率的变化，进而影响井的产量。针对这一问题，提出了各种流体与固体耦合的数值模拟模型。然而，对于裂缝性储层和多相渗流问题，流固耦合模型中许多参数不易获取，且求解难度很大，使得耦合模型存在一定的应用局限性。很少有文献在气井产能模拟时将介质变形和就地的长期导流能力加以综合考虑。文章考虑介质变形引起的天然裂缝渗透率的变化和裂缝导流能力随时间递减的影响，建立了裂缝性气藏压裂后气水两相渗流数学模型，推导出了数值计算模型；本模型易于编程求解，对于研究裂缝性气藏的渗流特征，特别是进行单井压后产能预测具有一定的实用意义。计算表明：不考虑介质变形和导流能力递减所预测的气产量偏高；目前普遍使用的气藏数值模拟软件中，假定渗透率、裂缝导流能力为常数，以致模拟计算结果比实际偏高。     

利用非线性自适应技术检测微弱的瞬时信号

本文根据局部流形理论,提出了一类非线性自适应预测滤波模型。仿真结果显示,本文提出的自适应预测滤波模型具有很强的非线性近似能力,可以检测淹没在超混沌或杂波环境中的瞬时信号。     

钌基厚膜电阻传导模型初探

介绍钌基厚膜电阻的三种传导模型。三种模型都可以得到较满意的R—V曲线，不足处是链模型得出电阻率和导电相粒子形状及尺寸的关系和实验事实不符；有效介质模型不能反映厚膜电阻形成过程中众多因素的影响；渗透模型很多参数的获得有赖经验公式。渗透模型能反映烧结过程中更多因素的影响，并可解释方阻与导电相粒度及峰值温度的变化关系。     

FLOW OF NEWTONIAN FLUIDS THROUGH SINUSOID ALLY CONSTRICTED TUBES. NUMERICAL AND EXPERIMENTAL RESULTS

Numerical and experimental predictions of pressure drops in the flow of Newtonian fluids through sinusoidally constricted tubes (SCT) are carried out. The numerical evaluations analyzed in this work are obtained from the following methods: Geometric Iteration (GJM), Geometric Iteration with First and Second Upwinds (GIM1, GIM2), Successive Over Relaxation by Line (SORBLM), Global Galerkin Spectral Method (GGSM), Collocation (CM) and Dufort-Frankel (DFM). The GIM1, GIM2 and SORBLM are applied to SCT and explained in this work. The other methods have been previously reported in the literature with the same purpose. Experiments are accomplished for constrictions of approximately 40,60 and 80% of the average tube diameter and results compare well with numerical predictions of the steady flow. It is concluded that special attention should be given to evaluations of the friction factor ƒ for Reynolds numbers Re between the onsets of flow separation and turbulence due to flow instability. Finally, the SCT as a model for porous media (PM) is discussed.     

The State of the Art in Text Filtering

This paper develops a conceptual framework for text filtering practice and research, and reviews present practice in the field. Text filtering is an information seeking process in which documents are selected from a dynamic text stream to satisfy a relatively stable and specific information need. A model of the information seeking process is introduced and specialized to define text filtering. The historical development of text filtering is then reviewed and case studies of recent work are used to highlight important design characteristics of modern text filtering systems. User modeling techniques drawn from information retrieval, recommender systems, machine learning and other fields are described. The paper concludes with observations on the present state of the art and implications for future research on text filtering. This revised version was published online in July 2006 with corrections to the Cover Date.