基于测前迭代仿真的模拟电路故障诊断方法

针对非线性模拟电路中元件表现出的折线故障特征,提出一种基于测前迭代仿真的模拟电路统一故障诊断方法.在测前将线性元件参数分段划分区间,在各区间进行仿真得到节点电压平面上的点计算斜率特征,对于斜率变化的区间重新进行参数扫描,并通过迭代仿真得到连续平滑的折线轨迹上的点作为测后诊断依据;在测后诊断中,通过计算实测点到各条折线轨迹的点集合的最小距离来定位电路故障,并根据测前仿真的分段信息对故障元件的参数区间进行识别.文中利用计算机程序实现了测前迭代仿真和测后故障定位及参数区间识别,能够同时诊断容差电路元件的硬故障(开路、短路)和软故障(元件参数变化至容差允许范围之外).最后通过实例的仿真实验和实际电路实验验证了该方法的有效性.     

一种新型环谐振器在带通滤波器中的应用

本文设计了一种新型四分之一波长侧耦合线双模环形谐振器。根据滤波器的指标要求：中心频率、带宽、传输零点频率以及通带插八损耗,综合设计得出谐振器参数。将这种谐振器应用到传统的平行耦合微带线带通滤波器中,大大提高了滤波器的频率选择性。     

Computations with quasiseparable polynomials and matrices

In this paper, we survey several recent results that highlight an interplay between a relatively new class of quasiseparable matrices and univariate polynomials. Quasiseparable matrices generalize two classical matrix classes, Jacobi (tridiagonal) matrices and unitary Hessenberg matrices that are known to correspond to real orthogonal polynomials and Szegö polynomials, respectively. The latter two polynomial families arise in a wide variety of applications, and their short recurrence relations are the basis for a number of efficient algorithms. For historical reasons, algorithm development is more advanced for real orthogonal polynomials. Recent variations of these algorithms tend to be valid only for the Szegö polynomials; they are analogues and not generalizations of the original algorithms.     

Model of Frequency Analysis in the Visual Cortex and the Shape from Texture Problem

This paper addresses the question: at the level of cortical cells present in the primary area V1, is the information sufficient to extract the local perspective from the texture? Starting from a model of complex cells in visual area V1, we propose a biologically plausible algorithm for frequency analysis applied to the shape from texture problem. First, specific log-normal filters are designed in replacement of the classical Gabor filters because of their theoretical properties and of their biological plausibility. These filters are separable in frequency and orientation and they better sample the image spectrum which makes them appropriate for any pattern analysis technique. A method to estimate the local frequency in the image, which discards the need to choose the best local scale, is designed. Based on this frequency analysis model, a local decomposition of the image into patches leads to the estimation of the local frequency variation which is used to solve the problem of recovering the shape from the texture. From the analytical relation between the local frequency and the geometrical parameters, under perspective projection, it is possible to recover the orientation and the shape of the original image. The accuracy of the method is evaluated and discussed on different kind of textures, both regular and irregular, with planar and curved surfaces and also on natural scenes and psychophysical stimuli. It compares favorably to the best existing methods, with in addition, a low computational cost. The biological plausibility of the model is finally discussed.     

Proteus仿真在模拟电子技术课程中的应用

模拟电子技术课程是电子信息类专业的重要课程,但在教学过程中同学们对很多典型电路的工作原理理解仅仅依靠教师进行分析,结合部分实验来加强理解,这对学生知识的掌握上存在一定的局限性。同时由于实验课时有限,导致学生对很对知识掌握更多流于"理性"而非"感性"。该文提出应用仿真软件Proteus来进行模拟电子技术仿真教学的思路。通过教学实例对PROTEUS进行"模拟电子技术"课程教学、实践教学和课程设计中的应用,使教师在讲述理论的同时,利用PROTEUS软件进行仿真、演示,从而增强学生的感性认识,使学生消除对理论知识的"抽象感",提高了学生的学习兴趣。     

PLC对模拟量的控制

在工业生产领域中,特别是连续型生产过程中常常需要对电流,电压,温度,压力等物理量进行控制。用PLC来控制模拟量可以充分利用PLC强大的数字与逻辑处理功能,在控制模拟量的同时,还可以进行开关量的控制。该文着重介绍了如何用PLC对模拟量进行控制。     

基于模糊BP神经网络的模拟电路实时故障诊断

以进行模拟电路实时故障诊断为主要目的,对BP神经网络故障字典法进行了深入研究,针对传统BP算法收敛速度慢、易产生局部最优等不足,采用神经网络与模糊理论相结合的方法,根据模式识别原理实现模拟电路故障的实时诊断。实验结果表明:该算法在网络收敛速度和识别精度上较传统的BP算法均有明显的改善。     

基于多小波变换的模拟电路IDDT故障诊断

动态电源电流测试（IDDT）对模拟电路故障诊断非常有效。针对小波神经网络在模拟电路IDDT故障诊断中存在的缺陷,提吐了一种基于多小波变换的模拟电路IDDT故障诊断方法。即利用多小波变换提取电源电流各频段的能量,作为神经网络的输入特盘向量进行故障诊断。仿真结果表明,该方法是有效的,而且比小波神经网络方法的收敛速率快。     

短期负荷预测Volterra滤波器模型

讨论依据相空间邻近轨道演化相似性的特点构造训练模式,建立短期负荷预测Ｖｏｌｔｅｒｒａ滤波器模型的问题．以距离相似度和趋势相似度来衡量电力负荷吸引子轨道的相似度,提出了电力负荷吸引子邻近轨道判别的新方法．从模型训练充分性的角度出发,探讨了模型训练集规模的选择依据．仿真结果表明该模型是有效的．     

Ambient‐light sensor system with wide dynamic range enhanced by adaptive sensitivity control

Abstract— A new digital ambient‐light sensor system is presented which employs two linear light sensors with different sensitivities and automatically adjusts the sensitivity based on the illumination condition. The adaptation mechanism allows a very wide range of light intensity to be detected, and the input dynamic range of the system is substantially improved from 22.5 to 45.1 dB. The proposed method does not require any additional precision bits for output data. Due to the small number of the output bits and the simple conversion process, the system can be easily integrated on the display panel.