Estimating defence budget saving from disarmament: the United States’ case

Probing the technology in the production of US national defence by using a dynamic cost‐function model with adjustment costs, this paper evaluates the effect of reducing the level of national defence on the defence budget saving. Our inquiry involves estimating the defence production structure without output data for non‐market goods that are normally unavailable. Our findings include: (i) the United States behaves rationally to minimize cost in the production of national defence; (ii) the adjustment costs are larger in disarmament than in military build‐up; (iii) due to the adjustment costs peculiar to disarmament, the defence budget saving from disarmament appears small, but cutbacks allow great savings on the defence budget.     

利用N阶幻方设计一种具有低相关特性的交织器

Turbo码是近年信道编码理论研究的热点课题,而交织器的设计则是Turbo码研究中的主要问题之一。利用数学中的N阶幻方设计了一种交织器,给出了交织方案。并利用相关特性分析了其交织性能。     

数字伺服系统中角的表示方法

介绍了数字伺服系统中用十六位二进制数表示角的方法和误差角的计算。使数字伺服系统设计者从根本上树立角与数关系的正确看法,从而有助于正确、简练地设计控制算法程序。     

基于准循环双对角阵的LDPC码编码算法

针对校验矩阵形如准循环双对角阵的结构化LDPC码,对比研究了两类高效的编码算法:矩阵分解编码算法和分项累加递归编码算法,证明了两类算法从实现角度是等价的,但分项累加递归编码算法推导更为直观,且便于硬件并行实现。基于分项累加编码算法,提出了一种适合准循环双对角LDPC码的部分并行编码结构,设计实现了IEEE 802.11n标准中的LDPC码编码器。FPGA实现结果表明,所设计的LDPC编码器具有硬件开销较小、吞吐率高的优点,在码长为1944bit、码率为5/6时信息比特吞吐率最高可达13Gbps。     

The effect of deployment on first‐ and second‐term re‐enlistment in the US active duty force

Why should deployment affect re‐enlistment? In our model, members enter the military with naïve beliefs about deployment and use actual deployment experience to update their beliefs and revise their expected utility of re‐enlisting. Empirically, re‐enlistment is related to the type and number of deployments, consistent with the learning model. Non‐hostile deployment increases first‐term re‐enlistment but hostile deployment has little effect except for the Army, where the effect is positive. Both types increase second‐term re‐enlistment. Interestingly, first‐term members with dependants tend to respond to deployment like second‐term members. In addition, deployment acts directly to affect re‐enlistment, not indirectly through time to promotion.     

GPS L1C信号LDPC译码器设计

GPS现代化中的L1C信号使用了LDPC码,以提高接收机的弱信号接收能力。L1C信号中使用的LDPC码没有循环或准循环结构,这为译码器设计带来了难度。为了降低译码器实现复杂度,在分析L1C信号LDPC码校验矩阵结构的基础上,通过对校验节点分类和改变变量节点更新方法,提出了一种低存储量和简化译码器控制逻辑的低复杂度译码器结构,并通过仿真验证了译码器译码结果的正确性。     

AWGN信道中Turbo码的性能和仿真

主要对Turbo码的解码算法进行了研究,分析了常用的MAP解码算法,对Turbo码在AWGN信道中应用不同的解码算法进行了仿真,针对不同解码算法和解码迭代次数等因素对Turbo码性能影响进行分析,结果表明Turbo码在AWGN信道中和低信噪比条件下具有优良的性能。     

准静态受遮蔽的Rician衰落信道中空时格码的性能上界

针对准静态受遮蔽的 Rician 衰落信道,在收端已知信道状态信息的条件下,文中分析了空时格码的性能.推导了码字差相关阵为对角阵的空时格码系统的成对差错概率的确切表达式,得到了相应空时格码在准静态受遮蔽的 Rician 衰落信道中的性能上界。仿真结果表明,在遮蔽不太严重的信道中,文中得到的 union 界与相应编码系统的实际性能有很好的近似度。     

Dynamic Winner-Take-All Conflict

This paper empirically investigates the importance of financial and political variables in determining debt rescheduling probabilities in Turkey for 1955–2000. The problem of sovereign debt default and rescheduling has been the subject of substantial academic research during the last two decades. There has been criticism of models of developing countries’ indebtedness and rescheduling that rely solely on some economic or financial predictors related to country debt, the foreign exchange sector or the domestic economic situation. Using probit analysis, this paper indicates that financial variables are important determinants of rescheduling probabilities. However, political variables are not significant in our models.     

矩阵变换特征与码序列联合学习的卷积码识别方法

现有基于深度学习的卷积码识别方法仍存在参数规模较大、识别性能较弱等不足。针对该问题,提出了一种基于矩阵变换特征与码序列联合学习的卷积码识别方法。将接收到的码字序列排列成矩阵形式,利用软信息剔除可靠性较低的码字,通过一种新的矩阵变换算法得到特征矩阵。在识别时,将原始码字矩阵和特征矩阵输入到具有多模态数据联合学习能力的网络模型,在神经网络中完成特征的提取融合与卷积码的识别。仿真结果表明,所提方法性能明显优于现有基于深度学习的识别方法,特别是对于高码率卷积码;当码率较低时,同样优于传统识别方法。当信噪比达到5 dB时,25种不同参数卷积码的识别率均可达到100%。