基于抵消技术的邻道干扰抑制

针对无线设备间的邻道干扰,提出了一种干扰抑制方法。在接收机中设计邻道干扰重建支路,利用记忆多项式估计信道的非线性参数,构建邻道干扰信号模型并重建干扰信号,最终从接收信号中消除邻道干扰信号。所提方法能够有效减小邻道干扰影响,提升期望信号接收信噪比,使有限带宽内容纳更多通信设备。计算机仿真与软件无线电平台实验结果表明,在实验室视距环境中,甚高频频段,信号带宽25 kHz,所提方法能够抑制18 dB的邻道干扰,为有限空间内无线电设备间邻道干扰抑制提供了新的研究思路。     

Brent原油期货市场波动结构突变点预测

针对Brent原油期货市场可能存在结构突变点（结构断点）,引入了隐马尔科夫模型(Hidden Markov Models,HMM)对其进行波动状态预测,但是由于HMM模型测度下的波动状态中可能存在伪结构突变点,再使用迭代累积平方和(Iterated Cumulative Sums of Squares,ICSS)模型对Brent原油期货市场波动结构突变点进行诊断,并修正其波动状态,为了检验ICSS-HMM-EGARCH模型对Brent原油期货市场结构突变点预测的准确性,基于修正后的波动状态再次使用HMM-EGARCH模型对Brent原油期货市场进行波动率预测。最后,采用成功率(Success Rate,SR) 和基于平均误差函数(Root Mean Squared Errors,RMSE)的Diebold-Mariano(D-M)模型分别对预测波动状态和预测波动率的准确性进行检验。实证结果表明：Brent原油期货市场中存在波动结构突变点;HMM模型测度下的波动状态中存在伪结构突变点,而ICSS-HMM-EGARCH模型能够修正波动状态中的伪结构突变点;基于修正后的波动状态后HMM-EGARCH模型能够对Brent原油期货市场进行更加准确地波动率预测,因而ICSS-HMM-EGARCH模型能够准确地预测Brent原油期货市场波动结构突变点。     

NaH分子基态(X1∑+)的分子结构与势能函数

用量子化学计算方法与基组CCSD(T)/6-311 G(3DF,2PD)、QCISD(T)/6-311 G(3DF,2P)、QCISD(T)/aug-cc-pvtz和CCSD(T)/cc-pvtz,优化计算了NaH分子基态的平衡结构和离解能,得到的平衡核间距与实验值基本吻合。采用Murrell-Sorbie函数的修正式进行非线性最小二乘法拟合,得到了NaH分子势能函数的解析表达式,并进一步计算出NaH分子的力常数及光谱常数;计算结果与实验数据非常吻合。     

单频电磁辐射对雷达的干扰规律

为了提高雷达电磁防护能力,揭示单频电磁辐射对雷达的干扰规律,首先基于雷达测距原理,通过电路非线性失真分析,初步掌握阻塞干扰和假目标干扰规律;而后开展效应试验,对干扰规律进行补充和完善.结果表明带内单频电磁辐射易对受试雷达造成干扰,假目标临界干扰场强明显低于阻塞干扰,最敏感处的差值可达30 dB,但敏感带宽要比阻塞干扰窄...     

基于TH-UWB串行干扰消除的多用户检测

利用TH-UWB系统信号的特点,采用串行干扰消除检测方法,提出一种低复杂度的多用户检测器.该检测器采用多级检测结构,依据用户脉冲被干扰的情况来确定检测顺序,受到干扰最小的用户最先进行检测判决.前一级的检测结果反馈回来重建该用户的信号,然后从接收的信号中消除.该检测器使每级检测的处理增益最大化,从而取得较好的检测性能.理论分析和仿真结果表明,该检测器取得了远优于单用户匹配滤波检测的性能.     

The roles of poly(ADP-ribose)-metabolizing enzymes in alkylation-induced cell death

Poly(ADP-ribose) (PAR) has been identified as a DNA damage-inducible cell death signal upstream of apoptosis-inducing factor (AIF). PAR causes the translocation of AIF from mitochondria to the nucleus and triggers cell death. In living cells, PAR molecules are subject to dynamic changes pending on internal and external stress factors. Using RNA interference (RNAi), we determined the roles of poly(ADP-ribose) polymerases-1 and -2 (PARP-1, PARP-2) and poly(ADP-ribose) glycohydrolase (PARG), the key enzymes configuring PAR molecules, in cell death induced by an alkylating agent. We found that PARP-1, but not PARP-2 and PARG, contributed to alkylation-induced cell death. Likewise, AIF translocation was only affected by PARP-1. PARP-1 seems to play a major role configuring PAR as a death signal involving AIF translocation regardless of the death pathway involved. Received 7 November 2007; received after revision 19 December 2007; accepted 21 December 2007 O. Cohausz, C. Blenn: These two authors contributed equally to this work.     

Zinc binding to peptide analogs of the structural zinc site in alcohol dehydrogenase: Implications for an entatic state

Zinc binding to the peptide replica and analogs to residues 93–115 of horse liver alcohol dehydrogenase (ADH) was examined by competition of the peptides and the chromophoric chelator 4-(2- pyridylazo)resorcinol for zinc and X-ray absorption fine structure analysis of the zinc ligands. In the enzyme, zinc is coordinated by four Cys residues. In the peptide replica, zinc is bound to three Cys and one His residue. A four-Cys zinc coordination is observed only when His is removed, leading to increased zinc stability. ADH crystal structures reveal that the ε-amino group of the conserved residue Lys323 is within H-bond distance of the backbone amide oxygens of residues 103, 105 and 108, likely stabilizing the zinc coordination in the enzyme. The peptide data thus indicate structural strain and increased energy in the zinc-binding site in the protein, characteristic of an entatic state, implying a functional nature for this zinc site. Received 3 July 2008; received after revision 11 August 2008; accepted 1 September 2008     

高斯白噪声背景下机动目标未来运动状态的一步实时预报与滤波

对高斯白噪声背景下机动目标的运动共性进行了研究,绕过了建立系统加速度模型的麻烦,得到了未来运动趋势的一步实时预报模型,并具有很好的实时性.文章中还给出了算例与仿真计算结果.     

状态空间模型在区域森林景观生态经济研究中的应用

通过对江苏省溧阳地区森林景观进行生态经济研究 ,获取区域森林景观的生态经济特征数据的基础上 ,结合森林动态数据 ,根据研究对象的系统机理建立状态空间模型。该模型可用于进行综合生态经济评价及其规划。文中应用状态空间模型进行区域森林景观生态经济功能的多目标规划.     

Dynamic Model Averaging and CPI Inflation Forecasts: A Comparison between the Euro Area and the United States

The paper forecasts consumer price inflation in the euro area (EA) and in the USA between 1980:Q1 and 2012:Q4 based on a large set of predictors, with dynamic model averaging (DMA) and dynamic model selection (DMS). DMA/DMS allows not solely for coefficients to change over time, but also for changes in the entire forecasting model over time. DMA/DMS provides on average the best inflation forecasts with regard to alternative approaches (such as the random walk). DMS outperforms DMA. These results are robust for different sample periods and for various forecast horizons. The paper highlights common features between the USA and the EA. First, two groups of predictors forecast inflation: temporary fundamentals that have a frequent impact on inflation but only for short time periods; and persistent fundamentals whose switches are less frequent over time. Second, the importance of some variables (particularly international food commodity prices, house prices and oil prices) as predictors for consumer price index inflation increases when such variables experience large shocks. The paper also shows that significant differences prevail in the forecasting models between the USA and the EA. Such differences can be explained by the structure of these respective economies. Copyright © 2015 John Wiley & Sons, Ltd.