高性能Ka频段收发前端的研制

介绍了一种Ka频段收发前端的工作原理和工程研制结果。该收发前端采用四次谐波混频器、毫米波微带滤波器、多芯片混合集成等技术，具有高性能、小型化、高可靠性等优点，并在宽温度范围、振动、冲击等条件下，满足毫米波系统要求。     

基于粒子群算法的证券组合投资模型的研究

从证券组合模型的概念,给出证券组合多目标决策模型。并用模糊优选法将证券组合多目标优化转化为单目标优化。同时,重点描述了粒子群算法,并采用自适应变异的粒子群算法对证券组合投资模型进行求解,最后编程实现证券组合模型的最优解,试验结果表明此方法取得了较好的效果。     

辗辊式井下采油筛管的研制及应用

针对油田在用井下采油筛管防砂过程中出现的砂堵等问题,依据能量转换原理,研制出一种辗辊式井下采油筛管。辗辊式筛管既防砂又不发生砂堵,还具有穿透性和节能效果明显等特点,不仅可用于一般的采油井、含砂量大和压裂的井,还可用于污水泵的保护。     

一种结构紧凑的微带低通滤波器

本文以一截止频率为5GHz、终端开路短截线型的微带低通滤波器为原型。通过合理的结构改进，将该传统结构的滤波器变换成一种结构紧凑，性能优良的新型低通滤波器。通过试验验证，谊新型结构滤波器不仅比传统的滤波嚣长度减小32倍，同时还表现出良好的滤波特性。在小型化电路中，该结构的滤波器非常具有实用价值。     

10KV中频炉供电系统动态无功综合补偿滤波装置

针对用户供电系统的负荷分布状况及负荷生产特点,或考虑无源HVC自动谐波滤波装置与高压有源APF动态无功综合补偿滤波装置相结合的技术方案,整套装置在对负荷进行补偿滤波的控制过程中,HVC与APF互相配合,既能保证滤波补偿效果,又可避免无功过补,属于一种比较先进的补偿、滤波方式。     

一种新型有源滤波器谐波电流检测方法研究

文章首先介绍了独立电源系统的特点，并阐述了独立电源系统有源滤波器谐波和无功电流的补偿原理。而后，根据独立电源系统的特点，提出了一种新型的谐波电流检测方法，通过与传统的瞬时无功功率理论和快速傅里叶变换提取谐波方法相比，该方法计算简单、准确度好、实现方便，具有较大的优越性，并在实际的有源滤波器装置中得到了较好的应用，表明该方法是正确和有效的。     

提高污水厂带式压滤机处理能力的途径

介绍了某污水处理厂污泥处理系统的组成和带式压滤机工作的特点,通过分析带式压滤机处理能力的影响因素,经过生产运行试验,提出了改变排泥、污泥缓冲池、带式压滤机运行过程的排泥法来降低进泥含水率,总结了改善滤带冲洗效果的方法和控制絮凝剂制配,提高了带式压滤机的处理能力,实践证明有较好的效果。     

Has the ‘franc fort’ exchange rate policy affected the inflationary dynamics? Theory and new evidence

Abstract

This paper examines the impact of the ‘franc fort’ policy implemented in France from 1983 on the inflationary dynamics by means of a square root Kalman filter approach. An interesting aspect of the analysis is the evidence that the ‘franc fort’ exchange rate policy had a significant impact on the inflationary dynamics in France through its credibility effects. These results confirm the imported credibility hypothesis according to which the French authorities accelerated the disinflation process by importing the German monetary policy credibility through the ‘hard peg’ of the franc–DM exchange rate. These findings show that inflation dynamics in France began to converge significantly to that in Germany after the implementation of the ‘franc fort’ policy, making more credible the plan for the final transition to the euro. Moreover, this analysis may also reveal much about the nature of potential success of the current initiative of the new member countries now in the process of joining the EU and looking eventually to adopt the euro.     

Time Series Analysis of Repeated Surveys: The State–space Approach

Cross sectional estimates from repeated surveys form a time series { y_t }. These estimates can be viewed as the sum y _t = Y _t + e _t of two processes, { Y _t }, the population process and { e _t }, the survey error process. Serial correlations in the latter series are usually present, mainly due to sample overlap. Other sources of data such as censuses, administrative records and demographic population counts are also available. The state–space modelling approach to the analysis of repeated surveys allows combining information from different sources, incorporating benchmarking constraints in a natural way. Results from these methods seem to compare favourably with those from X-11-ARIMA in filtering out survey errors.     

Oil commodity returns and macroeconomic factors: A time-varying approach

This paper analyses the dynamic influence of macroeconomic factors on oil commodity returns (crude oil and heating oil) shown in monthly data over the period of 1990–2013. Using a time-varying parameter model via the Kalman filter, we find that macroeconomic factors are relevant for explaining oil commodity returns. We find that multilateral exchange rates have a negative effect on commodity returns. We confirm the existence of a strong linkage between energy and non-energy commodities. More importantly, we find shifts in global demand and SP500 effects that are not identified through the constant parameter model. These variables have had a progressively positive effect on oil commodity returns, especially since 2008.