PEAK COVARIANCE STABILITY OF A RANDOM RICCATI EQUATION ARISING FROM KALMAN FILTERING WITH OBSERVATION LOSSES

We consider the stability of a random Riccati equation with a Markovian binary jump coefficient. More specifically, we are concerned with the boundedness of the solution of a random Riccati difference equation arising from Kalman filtering with measurement losses. A sufficient condition for the peak covariance stability is obtained which has a simpler form and is shown to be less conservative in some cases than a very recent result in existing literature. Furthermore, we show that a known sufficient condition is also necessary when the observability index equals one.     

一种高精度低功耗流水线ADC开关电容电路

提出一种新的电容失配校正方案及功耗驱动的OTA设计思路,通过对虚地电容的修正,将电容失配因子在取样保持系统中去除,达到提高电容匹配程度,降低OTA增益误差的要求,使开关电容部分的瞬态功耗下降.本文采用TSMC 0.18μm工艺设计了一个8位,取样速率为200MHz的流水线结构模数转换器作为验证电路,仿真结果说明此优化结构符合高精度和低功耗要求,可应用到流水线等高速模数转换电路中作为信号前端处理模块使用.     

HLR设备安全备份在GSM网络中的应用

提出了GSM网络中HLR(Home Location Register)的安全问题,阐述了HLR安全备份方法,提出了HLR安全备份在现网中的实现方案。     

CONSTRUCTIVE KISSING NUMBERS IN HIGH-DIMENSIONAL SPACES

In the present paper, we focus on constructive spherical codes. By employing algebraic geometry codes, we give an explicit construction of spherical code sequences. By making use of the idea involved in the proof of the Gilbert-Varshamov bound in coding theory, we construct a spherical code sequence in exponential time which meets the best-known asymptotic bound by Shamsiev and Wyner.     

中国咨询业的现状及发展对策

在分析我国咨询业的现状和存在问题的基础上,提出了发展我国咨询业的对策。     

多媒体网络技术的发展与教学模式的改革

多媒体及网络技术在教学中能有效地提高学生的学习效率,使学生能够采取主动学习,实现创造性学习的目标,并使教学信息双向化,取得更好的学习效果。     

高校网络教育学习支持服务系统的研究与改进

通过对四川大学网络教育学院学习支持服务体系现状的调研,提出了改进学习支持服务体系建设的相关建议。     

Philosophy of chemistry and the image of science

The philosophical analysis of chemistry has advanced at such a pace during the last dozen years that the existence of philosophy of chemistry as an autonomous discipline cannot be doubted any more. The present paper will attempt to analyse the experience of philosophy of chemistry at the, so to say, meta-level. Philosophers of chemistry have especially stressed that all sciences need not be similar to physics. They have tried to argue for chemistry as its own type of science and for a pluralistic understanding of science in general. However, when stressing the specific character of chemistry, philosophers do not always analyse the question ‘What is science?’ theoretically. It is obvious that a ‘monistic’ understanding of science should not be based simply on physics as the epitome of science, regarding it as a historical accident that physics has obtained this status. The author’s point is that the philosophical and methodological image of science should not be chosen arbitrarily; instead, it should be theoretically elaborated as an idealization (theoretical model) substantiated on the historical practice of science. It is argued that although physics has, in a sense, justifiably obtained the status of a paradigm of science, chemistry, which is not simply a physical science, but a discipline with a dual character, is also relevant for elaborating a theoretical model of science. The theoretical model of science is a good tool for examining various issues in philosophy of chemistry as well as in philosophy of science or science studies generally.     

Global Optimization in Any Minkowski Metric: A Permutation-Translation Simulated Annealing Algorithm for Multidimensional Scaling

It is well known that considering a non-Euclidean Minkowski metric in Multidimensional Scaling, either for the distance model or for the loss function, increases the computational problem of local minima considerably. In this paper, we propose an algorithm in which both the loss function and the composition rule can be considered in any Minkowski metric, using a multivariate randomly alternating Simulated Annealing procedure with permutation and translation phases. The algorithm has been implemented in Fortran and tested over classical and simulated data matrices with sizes up to 200 objects. A study has been carried out with some of the common loss functions to determine the most suitable values for the main parameters. The experimental results confirm the theoretical expectation that Simulated Annealing is a suitable strategy to deal by itself with the optimization problems in Multidimensional Scaling, in particular for City-Block, Euclidean and Infinity metrics.