自催化反应模型的行波解

运用常微定性理论的相平面分析方法讨论了自催化反应中的Ｋａａｓ－Ｐｅｔｅｒｓｅｎ模型,得到了行波存在的各种可能结果     

未知参数多项式相位信号的最优检测及性能

根据Neyman-Pearson(NP)准则,利用广义似然比检验方法,给出了未知参数多项式相位信号的最优检测器。在相位多项式次数分别为1或2时,周期图、chirp傅里叶变换检测即为对应的最优检测器。推导了检验统计量的概率密度函数以及虚警概率和检测概率,揭示了多项式相位信号检测中信号能量噪声比、信号参数空间中搜索点数、虚警概率和检测概率之间的关系。仿真结果验证了理论分析的有效性。     

关于国家垄断资本主义的几个问题

不同于传统和目前学术界的某些看法，作者认为国家垄断资本主义基本形态在社会和企业领域各有３种形态。国家垄断资本主义成为一个新的历史阶段体现在生产关系的部分质变、国家作用的加强、生产力的提高、阶级结构的变化和经济危机表现出新特点等诸多方面，而非仅仅的经济运行机制。其历史地位不仅在于它超越了资本主义腐朽性和垂死性的学理定位，而且在于它的进步性。     

采用DDS+PLL技术实现S波段频率合成的一种方法

分析了现有的ＤＤＳ 与ＰＬＬ 混合电路方案实现频率合成的优缺点，提出了一种用ＤＤＳ 与ＰＬＬ 混合电路实现Ｓ 波段频率合成的新方法。给出了一个示例，并用ＣＡＤ 工具进行了仿真与优化     

指数函数分解法的CPM非相干序列估计

连续相位调制本身所具有的高效频谱和功率利用率使得这种调制方式非常适合应用于无线通信环境中,但其解调的复杂度也随着记忆长度和进制数的增加呈指数增长。该文给出的非相干序列估计算法,通过将大量的参考信号分解成矢量形式,将信号间的相关运算转化为矢量乘法运算,可以有效地降低CPM解调器前端复杂度;在序列译码阶段,采用的是指数窗的截短方法,在不损失性能的前提下有效降低了解调器后端的复杂度。     

建国初期陈云的救灾思想与实践

赈灾、救灾是实现人民利益和维护社会发展、稳定的重要工作。中华人民共和国刚成立，就面临着极其严重的自然灾害。陈云在领导新中国经济建设过程中，从战略和全局高度关注赈灾和救灾工作，采取了一系列积极措施赈灾、救灾，保护了人民的利益，为实现社会的稳定与发展做出了贡献。     

分布式SAR系统中运动目标检测定位技术

建立了分布式卫星SAR系统动目标检测定位和测速模型,提出了一种基于改进的ESPRIT算法的多通道动目标检测定位和测速方法。该方法用DPCA技术检测动目标,再利用改进的ESPRIT算法确定动目标数并定位,提取运动参数。理论和仿真结果表明该方法能正确检测动目标并确定运动参数,与传统FFT方法比较,尤其对于成像后在一个方位分辨单元内的多个动目标情况,该方法具有明显优越性。     

Impact of safety monitoring on error probabilities of binary efficacy outcome analyses in large phase III group sequential trials

In phase III clinical trials, some adverse events may not be rare or unexpected and can be considered as a primary measure for safety, particularly in trials of life-threatening conditions, such as stroke or traumatic brain injury. In some clinical areas, efficacy endpoints may be highly correlated with safety endpoints, yet the interim efficacy analyses under group sequential designs usually do not consider safety measures formally in the analyses. Furthermore, safety is often statistically monitored more frequently than efficacy measures. Because early termination of a trial in this situation can be triggered by either efficacy or safety, the impact of safety monitoring on the error probabilities of efficacy analyses may be nontrivial if the original design does not take the multiplicity effect into account. We estimate the actual error probabilities for a bivariate binary efficacy-safety response in large confirmatory group sequential trials. The estimated probabilities are verified by Monte Carlo simulation. Our findings suggest that type I error for efficacy analyses decreases as efficacy-safety correlation or between-group difference in the safety event rate increases. In addition, although power for efficacy is robust to misspecification of the efficacy-safety correlation, it decreases dramatically as between-group difference in the safety event rate increases.     

Consistency of semiparametric maximum likelihood estimators for two‐phase sampling

Semiparametric maximum likelihood estimators have recently been proposed for a class of two‐phase, outcome‐dependent sampling models. All of them were “restricted” maximum likelihood estimators, in the sense that the maximization is carried out only over distributions concentrated on the observed values of the covariate vectors. In this paper, the authors give conditions for consistency of these restricted maximum likelihood estimators. They also consider the corresponding unrestricted maximization problems, in which the “absolute” maximum likelihood estimators may then have support on additional points in the covariate space. Their main consistency result also covers these unrestricted maximum likelihood estimators, when they exist for all sample sizes.