如何提高电子产品的可靠性

主要介绍了电子产品在研制、生产、试验中的可靠性工作。     

视觉诱发脑电波的时变最优滤波估计

本文提出了一个自修正的非平稳信号模型,并设计了时变最优滤波器于视觉诱发脑电波 的估计.估计出的信号与原始信号的各波峰潜伏期严格保持一致,而波峰幅值略有衰减.给 出的仿真与实体试验结果都证明了本方法的有效性.     

氩缓冲气体对铯原子共振滤光器特性的影响

铯原子共振滤光器(Cs-ARF)是目前实现蓝绿激光水下通讯的一种关键元件。本文详细研究了不同气压氩缓冲气体对Cs-ARF特性的影响,明显改善了Cs-ARF的响应速率和辐射转换效率。还研究了氮气及不同器件结构对Cs-ARF特性的影响。     

设计IIR数字滤波器的遗传优化算法

提出了ＩＩＲ数字滤波器设计的遗传优化法。这是一种模拟自然遗传和达尔文进化理论的随机并行优化算法。首先，详细描述了遗传算法并给出了计算步骤，然后将遗传算法用于ＩＩＲ数字滤波器的优化设计，最后给出了模拟计算结果。     

一种快速跟踪机动目标的并行算法

针对机动目标的跟踪问题,采用一种完全解耦的卡尔曼滤波跟踪算法,即速度滤波器和加速度滤波器并行独立运算,加速度滤波器的输出用于校正速度滤波器的结果。根据探测到的目标机动性情况,加速度滤波器可实时切换。降低了滤波维数,从而使计算量和存贮量减少,提高实时性。仿真结果表明,该算法具有很好的跟踪性能。     

镀铜／镍聚丙烯腈纤维填充复合材料电磁波屏蔽性能的研究

研究了镀铜／镍的聚丙烯腈纤维填充ＡＢＳ树脂制得的复合材料的导电性及电磁波屏蔽性能，复合材料的导电性主要与导电纤维的填加量有关，导电纤维与基体树脂间的相容状况、复合加工时某些工艺条件等对复合材料的导电性也有较大的影响，电磁波屏蔽性能随导电纤维填加量的增加而提高，加入适当的偶联剂有助于改善和复合材料的电磁波屏蔽性能。     

Conditions for stability of the extended Kalman filter and their application to the frequency tracking problem

The error dynamics of the extended Kalman filter (EKF), employed as an observer for a general nonlinear, stochastic discrete time system, are analyzed. Sufficient conditions for the boundedness of the errors of the EKF are determined. An expression for the bound on the errors is given in terms of the size of the nonlinearities of the system and the error covariance matrices used in the design of the EKF. The results are applied to the design of a stable EKF frequency tracker for a signal with time-varying frequency.This research was supported by the Co-operative Research Centre for Robust and Adaptive Systems ((CR)² ASys). The authors wish to acknowledge the funding of the activities of (CR)² ASys by the Australian Commonwealth Government under the Co-operative Research Centre Program.     

染料激光器双折射调谐器设计讨论

本文对染料激光用调谐器进行了理论分析,提出了同时兼顾调谐灵敏度,输出光强度及输出激光线宽等因素的综合设计方案。     

Probabilistic linear models for multiresolution estimation in gray-level images

A multiresolution analysis of digital gray-level images is presented. A gray-level multi-scale framework is determined from two main assumptions: the gray scale is binary at the finest spatial resolution, and the gray levels of composed regions are obtained additively. In order to interrelate the gray-level histograms of the same image at different resolutions, probabilistic linear models are developed, which are then applied for estimation. Linear-optimization theory is used as a way of constructing such models. A general procedure for image processing is sketched, based on gray-level estimation. A versatile algorithm for nonlinear filtering is derived. Some examples of prospective applications are given.This work was partially supported by grant TIC91-646 from the DGYCIT of the Spanish Government.     

Modeling Spin-Dependent Transport in InAs/GaSb/AlSb Resonant Tunneling Structures

The Rashba effect resonant tunneling diode is a candidate for achieving spin polarizing under zero magnetic field using only conventional non-magnetic III–V semiconductor heterostructures. We point out the challenges involved based on simple arguments, and offer strategies for overcoming these difficulties. We present modeling results that demonstrate the benefits of the InAs/GaSb/AlSb-based asymmetric resonant interband tunneling diode (a-RITD) for spin filtering applications.