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排序方式: 共有250条查询结果,搜索用时 15 毫秒
1.
介绍了一种高速宽带采样的数字信号处理平台设计方法,论述了在XilinxV4 FPGA中如何实现高速同步时钟设计和高速数据同步接收设计,介绍了与该设计相关的一些高速模数混合电路设计方法和一种采样后数据捕获的方法。该设计方案已用于瞬时测频中,并取得了良好的效果。 相似文献
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本文详细论述了OFDM系统中循环前缀在削弱符号间干扰(ISI)、载波间干扰(ICI)以及在实现时频同步中的应用。在OFDM符号间插入循环前缀,可以减小ISI和ICI,并为实时时频偏移估计提供足够信息,使得系统同步结构简单且工作高效。 相似文献
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针对现有机载时间同步系统在综合航电系统架构下通用性和可扩展性不足的问题,提出了一种具有开放式特征的机载时间同步系统架构。首先根据机载时间同步系统应用需求,分析了机载平台可选的技术手段,然后围绕时间链路、时间处理、时间管理、时间应用等基本要素,将机载时间同步系统自上而下划分为三个部分,从而形成分层次的机载时间同步架构。该架构在层间采用了标准开放接口,能同时兼容多种机间时间比对链路,具备多时间管理和时间品质评估的能力。最后,介绍了该架构下的时间同步实现流程,并分析了影响同步精度的主要误差环节。桌面测试结果表明,所提架构能够实现优于10 ns的时间同步精度。 相似文献
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Trade intensity and business cycle synchronization: Are developing countries any different? 总被引:3,自引:0,他引:3
Trade intensity increases the business cycle co-movement among industrial countries. Using annual information for 147 countries for the period 1960-99 we find that the impact of trade intensity on business cycle correlation among developing countries is positive and significant, but substantially smaller than that among industrial countries. Our findings suggest that differences in the responsiveness of cycle synchronization to trade integration between industrial and developing countries are explained by differences in the patterns of specialization and bilateral trade. 相似文献
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Knut Are Aastveit Hilde C. Bjørnland Leif Anders Thorsrud 《The Scandinavian journal of economics》2016,118(1):168-195
In this paper, we explicitly introduce regional factors into a global dynamic factor model. We combine new open economy factor models (emphasizing global shocks) with the recent findings of regional importance in the business cycle synchronization literature. The analysis is applied to a large panel of domestic data for four small open economies. We find that global and regional shocks explain roughly 30 and 20 percent, respectively, of the business cycle variation in all countries. While global shocks have most impact on trade variables, regional shocks explain a relatively large share of the variation in cost variables. 相似文献
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HOW DO FISCAL CONSOLIDATION AND FISCAL STIMULI IMPACT ON THE SYNCHRONIZATION OF BUSINESS CYCLES? 下载免费PDF全文
Luca Agnello Guglielmo Maria Caporale Ricardo M. Sousa 《Bulletin of economic research》2017,69(4):309-329
Using quarterly data for a panel of advanced economies, we show that synchronized fiscal consolidation (stimulus) programmes in different countries make their business cycles more closely linked. We also find: (i) some evidence of decoupling when an inflation targeting regime is unilaterally adopted; (ii) an increase in business cycle synchronization when countries fix their exchange rates and become members of a monetary union; (iii) a positive effect of bilateral trade on the synchronization of business cycles. Global factors, such as a rise in global risk aversion and uncertainty and a reversal of nonstandard expansionary monetary policy, can also reduce the degree of co‐movement of business cycles across countries. From a policy perspective, our work shows that an inflation targeting regime coupled with simultaneous fiscal consolidations can lead to more business cycle synchronization. 相似文献
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This paper investigates the synchronization of Hong Kong's economic growth with mainland China and the US. We identify trends of economic growth based on the permanent income hypothesis. Specifically, we first confirm whether real consumption in Hong Kong and mainland China satisfies the permanent income hypothesis, at least in a weak form. We then identify the permanent and transitory components of income of each economy using a simple state-space model. We use structural vector autoregression models to analyze how permanent and transitory shocks originating from mainland China and the US affect the Hong Kong economy, and how such influences evolve over time. Our main findings suggest that transitory shocks from the US remain a major driving force behind Hong Kong's business cycle fluctuations. On the other hand, permanent shocks from mainland China have a larger impact on Hong Kong's trend growth. 相似文献
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Mohammad Karim Sohrabi 《Enterprise Information Systems》2018,12(6):674-694
The computational complexity, huge memory space requirement, and time-consuming nature of frequent pattern mining process are the most important motivations for distribution and parallelization of this mining process. On the other hand, the emergence of distributed computational and operational environments, which causes the production and maintenance of data on different distributed data sources, makes the parallelization and distribution of the knowledge discovery process inevitable. In this paper, a gossip based distributed itemset mining (GDIM) algorithm is proposed to extract frequent itemsets, which are special types of frequent patterns, in a wireless sensor network environment. In this algorithm, local frequent itemsets of each sensor are extracted using a bit-wise horizontal approach (LHPM) from the nodes which are clustered using a leach-based protocol. Heads of clusters exploit a gossip based protocol in order to communicate each other to find the patterns which their global support is equal to or more than the specified support threshold. Experimental results show that the proposed algorithm outperforms the best existing gossip based algorithm in term of execution time. 相似文献